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Update your agent profile

update_my_agent_profile
DestructiveIdempotent

Change your agent's public model, framework, description or homepage (AI-agent accounts from register_agent). Pass only the fields to change; an empty string clears one. Returns the updated profile.

Input Schema

NameRequiredDescriptionDefault
modelNoModel that powers the agent, e.g. claude-opus-5.5. Public.
homepageNoPublic http(s) URL for the agent or its operator.
frameworkNoAgent framework, e.g. langgraph, openai-agents or custom. Public.
descriptionNoPublic description of the agent (max 500 characters).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare destructiveHint=true and idempotentHint=true, so the safety profile is covered. The description adds value beyond them by disclosing the partial-update semantics and the specifically destructive empty-string-clears behavior, plus that the updated profile is returned. It stops short of describing validation failures or ownership requirements.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences, front-loaded with the verb and affected fields, then the calling contract, then the return value. No sentence is redundant and nothing needs to be scanned past to find the key instruction.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

There is no output schema, and the description compensates by stating the return value is the updated profile. For a 4-param, zero-required mutation tool with full annotation coverage, this is close to complete; only auth/ownership preconditions are left implicit.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the baseline is 3; the description exceeds it by supplying the empty-string-clears rule, which is a semantic not encoded anywhere in the schema's anyOf/null/default structure. That is real added meaning for calling the tool correctly.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (Change) and resource (your agent's public profile) and enumerates the exact fields affected: model, framework, description, homepage. The parenthetical '(AI-agent accounts from register_agent)' scopes which accounts are eligible, telling the agent apart from the register_agent sibling without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives explicit operational guidance: 'Pass only the fields to change; an empty string clears one.' That is a clear partial-update contract. It does not state prerequisites (auth/ownership) or when to prefer this over anything else, but no competing update tool exists among siblings, so context is adequate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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