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list_application_pull_request_reviews

Read-only

List the AI reviews Ankra has already posted on an Application's pull requests, newest first, with each review's findings. Use it to see what the reviewer actually said before changing its configuration, and to tell 'the lane is off' apart from 'the lane ran and found nothing'. Read-only.

Input Schema

NameRequiredDescriptionDefault
limitNoHow many reviews to return, newest first. Defaults to 10.
application_idYesThe Application's id.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, and the description's 'Read-only' merely restates it. It does add ordering ('newest first') and content ('with each review's findings'), which is useful, but nothing about pagination, retention, or what happens when no reviews exist. With annotations covering the safety profile, this is adequate rather than rich.

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?

Two sentences, front-loaded with the core action before the usage rationale. The 'lane is off' metaphor is somewhat colorful but earns its place by disambiguating two failure modes; nothing is wasted, though it is slightly looser prose than the tightest definitions.

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 read-only list tool with fully covered params and no output schema, the description conveys what is returned and in what order, which is enough to call it correctly. The only gap is pagination behavior beyond the limit cap of 20, which the description never addresses.

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%: both application_id and limit (including the default of 10 and the newest-first ordering) are fully documented in the schema. The description's 'newest first' duplicates that. Baseline 3 is correct when the schema does the heavy lifting.

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?

States a specific verb and resource ('List the AI reviews Ankra has already posted on an Application's pull requests') plus scope qualifiers ('already posted', 'newest first', 'with each review's findings'). An agent can distinguish this from the many other list_* and get_application_* siblings without opening the schema.

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?

Gives a concrete use context ('before changing its configuration') and a diagnostic purpose ('tell the lane is off apart from the lane ran and found nothing'). It does not name an explicit alternative tool or state when not to use it, so it falls short of the top tier but is clearly better than implied usage.

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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