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GAIP Procurement Evidence Agent

Compare supplier claims

gaip_verify_supplier_claims

Compare supplied public claims and task observations, check declared metadata, and return dispositions with a retained receipt. No supplier approval or independent claim verification.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
claimsYes
metadataYes
protocolYes
syntheticNo
episode_idNo
task_classYes
observationsNo
counterparty_idYes
continuity_handleNo
data_classificationYes
independent_operator_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior4/5

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

The description adds useful behavioral context beyond annotations by stating that no supplier approval is needed, that independent claim verification is not performed, and that a receipt is retained. This complements the sparse annotations (readOnlyHint:false, destructiveHint:false) and clarifies side effects. It does not contradict the annotations.

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

Conciseness4/5

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

The description is short and front-loaded: it opens with the core action, then describes the result and key caveats. Every sentence earns its place, though the phrasing is slightly compressed and could be clearer about the relationship between 'claims' and 'task observations'.

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

Completeness2/5

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

For a tool with 11 parameters, nested objects, no output schema, and significant sibling overlap, this description is not complete enough. It fails to explain required parameters like protocol and continuity_handle, the nature of the returned dispositions, or any error or receipt-related behavior, so an agent would likely need external help to call or interpret it correctly.

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

Parameters2/5

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

Schema description coverage is 0%, so the description carries the full burden for explaining 11 parameters. It only touches on 'claims', 'task observations', and 'declared metadata', leaving protocol, continuity_handle, data_classification, episode_id, and several others unexplained. The description adds little meaning beyond what the schema property names already imply.

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?

The description states a specific action ('Compare supplied public claims and task observations'), identifies the target resource, and mentions the result ('return dispositions with a retained receipt'). It is clearly about supplier claims verification rather than comparing snapshots, and the negative qualifier 'No supplier approval or independent claim verification' helps distinguish it from related verifier-style siblings.

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

Usage Guidelines2/5

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

There is no explicit guidance on when to use this tool versus alternatives such as gaip_compare_supplier_snapshots or verify_gaip_receipt. The description explains what the tool does but does not provide conditions, prerequisites, or exclusionary rules like 'use X when...', so an agent must infer the appropriate context.

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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