Claude Agent SDK
Hire Claude Agent SDK developers who build the boundary first
A Claude Agent SDK developer writes the tool definitions, permission rules, subagents and hooks that let Claude act inside your systems safely. Day one work covers MCP servers, stopping conditions, CLAUDE.md conventions and the evaluation harness that proves it still works after a model update.
What you are getting
4 things that decide this
- 01Senior engineers who have put Claude to work with real tools in a live product, not a scripted demo.
- 02They write MCP tool definitions, subagents and hooks, and they define permissions, stopping conditions and cost limits as part of the build.
- 03You interview each engineer before they start, and declining one costs nothing.
- 04Tool definitions, permission rules, CLAUDE.md conventions and the evaluation set are yours from the first commit.
The day-one scope of a Claude Agent SDK build
An agent differs from a chatbot in one way that matters commercially. It takes actions, so a mistake changes something rather than just reading badly.
On Go4Gr8 the assistant tracks the commitments a leader makes during coaching, through MCP tools, inside a platform where every user has their own agent. The tool can write a commitment for that user and cannot reach another organisation's history, because the rule sits in the server rather than in the wording of a prompt.
That is the whole discipline. Decide the blast radius in code, give the agent the narrowest tool that does the job, and make every action it takes reviewable afterwards. In practice this means MCP servers for each system the agent touches, a CLAUDE.md file that states the conventions it must follow, and subagents for work that needs its own context. It also means hooks for the checks that fire before or after a tool call, and an evaluation harness that engineers run before any model upgrade ships.
What they design before the agent runs
A stopping condition
A limit on steps, time and spend per task. Without one, a confused agent retries the same failing action until somebody notices the invoice.
Tools with narrow scope
A tool that books one appointment, not a tool that runs arbitrary queries. Narrow definitions are what contain the damage when the model is wrong.
Identity carried into every call
The agent acts as a specific user with that user's permissions, so it cannot quietly operate as an administrator.
Approval where it counts
Irreversible or costly actions pause for a person. Everything else runs unattended, which is the point of building an agent at all.
A record of every action
What was called, with what arguments, and what came back. After an incident this is the only thing that answers what happened.
- TaskWhat it was asked to do
- PlanSteps, with a ceiling
- Tool callNarrow, and named
- PermissionAllowed, or refused here
- ApprovalFor the costly ones
- LogEvery action, reviewable
Boxes four and five are your safety, and neither belongs in a prompt. A prompt is a request; a permission check is a rule.
Claude given tools in a live product
How hiring works
- 01
Tell us what it must never do
A free call about the systems it reaches and the actions that would be expensive to undo. If a fixed workflow beats an agent here, we say so.
- 02
Meet the engineers
We shortlist people who have drawn a permission boundary in production, and you interview them against your own bar.
- 03
They embed
Your repository, your review process, your environments. One of our engineers owns the boundary design and answers for it.
- 04
They hand over
Tool definitions, the permission rules, spend limits and the evaluation set, with someone on your team trained to change them. Where a client wants the agent watched after launch, we stay on under a service level we agree. The first 2 months of support and maintenance are free, with every build.
Stack
Agent layer
- Claude Agent SDK
- Claude API
- Model Context Protocol
- Tool calling
- Structured output
Around it
- Python
- FastAPI
- TypeScript
- PostgreSQL
- Redis
- AWS
Practices
- Step and spend ceilings
- Scoped tool definitions
- Human approval gates
- Per-action audit logs
Tell us the action you would not let software take
Bring the systems in scope and the mistakes that would actually hurt. The scoping call is free, and the permission model is the first thing we draw.
01What is the Claude Agent SDK for?+
The Claude Agent SDK is Anthropic's toolkit for agents that run a loop: the model plans, calls a tool, reads the result and continues until the work is done or a limit stops it. It gives you the loop, the tool handling and the context management, so you do not write that scaffolding. You still own which tools exist, what they may touch, and where the agent runs.
02Do we need an agent, or would a fixed workflow do?+
A fixed workflow is better whenever the steps are known in advance, because it is cheaper, faster and easier to test. An agent earns its cost when the path genuinely varies with the input and writing every branch is impractical. We will talk you out of an agent on the call if that is the honest answer.
03How do you stop it running up a large bill?+
Ceilings set in code: a maximum number of steps, a spend limit per task, and cheaper models for the simple stages. Costs are tracked per task rather than as one monthly total, so an expensive pattern is visible in days instead of at the end of the quarter.
04Can it work with our internal systems?+
Yes, and that is normally the whole reason to build one. Tools run inside your network or cloud account, so the agent reaches your systems through code you own rather than through direct database access. Go4Gr8 works this way inside a multi-tenant boundary.
05How do we know it still behaves after a model update?+
You run an evaluation set against the new version before it goes live, checking the agent still picks the right tool with the right arguments on cases you care about. Model versions are retired on a published schedule, so this is planned work rather than an emergency.
06What shapes the cost of an agent build?+
The number of tools, the systems behind them, and how reversible the actions are. An agent that only reads is straightforward. One that moves money or changes customer records needs approval steps, logging and far more testing. Scoping calls are free. Every build starts with a fixed-fee Blueprint: an engineer reads your real systems and writes the plan, with a fixed price for each milestone rather than a guess. The fee is credited in full against the build, and if the plan isn't one you'd act on, you don't pay for it.
07How is this different from hiring a freelancer who knows the Claude Agent SDK?+
A freelancer can wire up tool calls. Harder to find is someone who has argued a permission boundary through review on a multi-tenant product, where a mistake reaches another customer's data. Our engineers embed in your repository and your process instead of working from a brief. You interview them before either side commits.
08Who owns the code and the permission rules after we hire?+
You do, from the first commit. Tool definitions, permission logic, stopping conditions and the evaluation set live in your repository, not ours. Someone on your team is trained to change them before we hand over.
09What hours do the engineers work, and how much overlap do we get?+
We set working hours to match meaningful overlap with your team, agreed before the engineer starts rather than defaulted to ours. Daily standups and code review happen in the hours you both keep, not asynchronously across a full day's gap.
Read next
- hire Claude developers →The wider Claude role.
- hire MCP developers →The protocol behind the tools.
- is an AI agent production ready →The checklist before launch.
- AI agent development →When we build it rather than staff it.
- Claude Agent SDK review →When the SDK fits, and when the Client SDK is the better call.

