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Agent Card Lookup

agent.card.lookup
Read-onlyIdempotent

Look up a specific AI Agent's card by ID. Returns identity, capabilities, trust score, and endpoints. ($0.002)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentIdYesAgent ID to look up

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
agentNoAgent card data
foundNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, open-world behavior, so the safety profile is covered. The description adds genuinely new context beyond the annotations: the returned fields and, importantly, the $0.002 cost of the call, which is not captured in any structured field.

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?

Two tight sentences, front-loaded with the action and scope, followed by return contents and cost. No wasted words; every clause earns its place.

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?

With an output schema documenting the return shape and annotations covering the safety profile, the description only needs to frame purpose, scope, and cost, which it does. Minor gap: no explicit distinction from agent.card.discover within the crowded agent.card.* family.

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% for the single agentId parameter, so the schema carries the semantics. The description adds nothing about ID format or provenance (e.g., where agentId comes from), so the baseline 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 (look up) plus resource (AI Agent's card) and scope (by ID), and lists the returned content. It contrasts implicitly with agent.card.discover via 'specific ... by ID', but never names that sibling, so differentiation is inferential rather than explicit.

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?

The phrase 'by ID' implies the usage context (fetch one known agent), but there is no explicit when-to-use, no when-not-to-use, and no routing to agent.card.discover for browsing. Usage is implied only.

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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