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Approveit

Get request history

get_request_activity
Read-only

Return the chronological audit trail for one approval request: submissions, approvals, rejections, comments, edits and forwards, with who did what and when.

Input Schema

NameRequiredDescriptionDefault
ar_identifierYesThe AR number like 'AR-15' (preferred — a bare number can be ambiguous across request types) or the internal integer id.

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 readOnlyHint=true and destructiveHint=false, so the safety profile is covered. Beyond that, the description discloses the ordering guarantee ('chronological'), the taxonomy of returned events, and the presence of actor attribution ('who did what and when') — meaningful since no output schema exists. It omits pagination, result caps, and behavior for a request with no activity.

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?

One sentence, front-loaded with the verb and resource, with the event enumeration as a compact clause rather than a bulleted list. No filler, hedging, or restatement of the title.

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?

For a single-parameter read tool with full schema coverage and annotations, the description supplies what the schema cannot: what the response contains and in what order. Only the absence of any note on volume, pagination, or an empty-history result keeps it from being fully complete.

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% and the single parameter already documents both accepted forms ('AR-15' vs internal integer id) plus the ambiguity caveat. The description adds no additional meaning about ar_identifier, so the baseline of 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?

Specific verb ('Return') plus a precise resource ('chronological audit trail for one approval request') and an enumeration of the event types covered (submissions, approvals, rejections, comments, edits, forwards). It clearly reads as a history/audit tool, implicitly distinct from describe_approval_request, but it never names a sibling or states the contrast explicitly.

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 'audit trail for one approval request' implies the use case (investigating what happened on a single request) and the 'one' constraint, but there is no explicit when-to-use vs when-not, and no pointer to describe_approval_request for current state or summarize_approvals for aggregate views.

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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