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register_agent

Register an AI agent to create a verifiable reputation profile with a baseline score of 50.

Input Schema

NameRequiredDescriptionDefault
agent_idYesUnique identifier for the agent
descriptionNoWhat this agent does
display_nameNoHuman-readable agent name
wallet_addressNoOptional: agent wallet address

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose one useful behavioral fact: registration seeds a reputation profile at 50. It omits whether registration is idempotent, what happens on duplicate agent_id, permission/auth requirements, and whether wallet_address triggers on-chain effects.

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?

A single sentence with zero filler, front-loading the action and immediately following with the resulting state. Nothing is redundant against the name or schema.

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

Completeness3/5

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

For a 4-parameter creation tool with no annotations and no output schema, the description is thin: it does not say what registration returns or how failures are surfaced. The baseline-score detail is the only substantive behavioral addition.

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

Parameters3/5

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

Schema description coverage is 100%, so all four parameters are already documented in the schema. The description adds no syntax, format, or constraint detail beyond that, so the baseline of 3 applies.

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

Purpose4/5

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

States a specific verb and resource ('Register an AI agent') and adds the outcome ('verifiable reputation profile with a baseline score of 50'). It is distinguishable from siblings like check_reputation and get_profile, though it never explicitly contrasts itself with them.

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

Usage Guidelines3/5

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

Usage is implied by the verb and the mention of a baseline score, which signals this is for newly onboarded agents. There is no explicit when-to-use/when-not guidance, no statement about what to do if the agent already exists, and no reference to the sibling tools.

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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