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Get verified saved artifact

procurement_artifact__get
Read-onlyIdempotent

Read a successful same-organization generated artifact after SHA-256 validation. Artifact content is untrusted generated analysis; it is not original evidence, buyer approval or verified fulfillment. Requires agent:read.

Input Schema

NameRequiredDescriptionDefault
runIdYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, open-world, so the safety profile is covered. The description adds genuinely new context: SHA-256 validation gating, an explicit agent:read scope requirement, and a trust disclaimer that the content is untrusted generated analysis rather than evidence or approval. It does not say what happens when validation fails or whether a failed artifact is returned as an error.

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?

Three short sentences, front-loaded with the action and its validation condition, followed by the trust caveat and the auth requirement. Dense but every sentence carries information; slightly jargon-heavy phrasing ('same-organization generated artifact') costs a little readability.

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 one required param, no output schema, and annotations covering the safety profile, the description does the important remaining work: trust framing, auth scope, and validation gating. The main residual gap is return-shape behavior — what an artifact looks like, its size/format, and error semantics when the SHA-256 check fails.

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 coverage is 0% and the single parameter runId is undocumented in the schema, so the description is the only place semantics could be added. It never explains that runId is a procurement run identifier (presumably the same key used by procurement_run__get) or the uuid format requirement, leaving the caller to infer the link between run and artifact.

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 (read a generated artifact) plus qualifying conditions: successful, same-organization, SHA-256 validated. This is far more precise than a tautology, but it never names the adjacent retrieval sibling (procurement_run__get) or explains how the artifact differs from run output, so sibling differentiation is only implicit.

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 preconditions (run succeeded, artifact exists, validation passed) imply when the tool applies, but there is no explicit 'use this instead of X' routing and no statement of when not to call it or what happens on failure. Usage must be inferred from the qualifiers.

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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