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agent-transaction-control

Lookup Agent Reputation

lookup_agent_reputation
Read-only

Use this tool to query the FLINT Trust Graph for a partner-scoped agent's historical reputation before permitting a payment, paid API call, checkout action, x402 request, or delegated commercial transaction. It returns aggregate reputation without exposing raw runtime identifiers or internal signal fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
flint_agent_idYesPartner-scoped FLINT agent identifier.

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=true and openWorldHint=true. The description adds value by stating that it returns 'aggregate reputation without exposing raw runtime identifiers or internal signal fields,' which clarifies data privacy behavior beyond the annotations. No contradictions.

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 sentences with no wasted words. The purpose and usage are front-loaded. Every sentence 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?

Given one parameter and no output schema, the description adequately covers what the tool does and what it returns (aggregate reputation without raw identifiers). A minor gap is the lack of detail on the return structure, but it's sufficient for an agent to understand the tool's role.

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?

The input schema provides full coverage (pattern and description for flint_agent_id). The description adds no additional meaning beyond the schema, so baseline score of 3 is appropriate.

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?

The description clearly states the tool's purpose: to query historical reputation from the FLINT Trust Graph. It specifies the verb 'query' and resource 'reputation', and lists specific use cases (payment, paid API call, etc.), making it distinct from sibling tools like create_flint_trust_manifest or get_agent_passport.

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?

The description provides explicit when-to-use scenarios (before permitting various commercial actions). However, it does not mention when not to use or alternative tools, leaving the agent to infer from sibling names. Clear context but lacks exclusion guidance.

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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