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Get agent feedback

get_agent_feedback
Read-onlyIdempotent

Feedback left for an agent in the ERC-8004 Reputation Registry, newest first. Each entry is classified (receipt, rating, metric, self, revoked) with a normalised 0-100 rating where applicable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number, starting at 1
limitNoResults per page, 1-100 (default 50)
agent_idYesERC-8004 agent ID (token ID in the Identity Registry)

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 cover the safety profile (readOnly, idempotent, non-destructive, open-world), so the bar is lower. The description still adds genuine value by disclosing the return shape: entries are classified (receipt, rating, metric, self, revoked) with a normalised 0-100 rating, and results are ordered newest first.

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 tightly written sentences with zero filler; the resource and ordering are front-loaded and the second sentence delivers the return-value classification. 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 no output schema, the description carries the burden of describing returns and does so reasonably (classification categories, normalised rating). Pagination is left entirely to the schema, which documents page/limit adequately, so nothing critical is missing for correct invocation.

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 agent_id, page, and limit are already documented in the input schema. The description adds only the implicit ordering ('newest first'), which mildly extends the schema's pagination semantics but does not clarify the parameter formats themselves.

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 ('Feedback left for an agent in the ERC-8004 Reputation Registry') and adds ordering ('newest first'). It is naturally distinct from the sibling get_agent_validations, though it does not explicitly name or contrast with any sibling.

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 only implied: it is a read-only getter that returns feedback for a given agent, so an agent can infer when to call it. There is no explicit when-to-use guidance, no prerequisites, and no mention of alternatives such as get_agent or get_agent_validations.

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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