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One applicant in full

get_applicant

One applicant in full. CV, cover letter, answers, documents, timeline and the conversation. Opening it moves a new applicant to reviewing. A ready-to-read summary is in say.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
application_idYesApplication id, from prepare_application or list_applications.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior4/5

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

The annotations only state readOnlyHint=false and idempotentHint=false; the description goes further and discloses the concrete side effect that opening a new applicant moves it to 'reviewing'. That is genuinely useful state-change context the agent could not derive from the annotations alone, though it doesn't say whether re-opening is a no-op or what permissions are needed.

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

Conciseness3/5

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

It is compact and leads with the scope, which is good. However the closing fragment 'A ready-to-read summary is in `say`' is opaque — it is unclear whether `say` is a response field, a tool, or something else — so a sentence is spent without earning 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?

There is no output schema, so the description carries the return-value burden and does so well by enumerating the returned artifacts. The only gap is the ambiguous `say` reference and the absence of any note on how this differs from get_application.

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 its source ('from prepare_application or list_applications'). The description adds no syntax or format detail beyond the schema, so the baseline 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?

The description names the resource (one applicant) and enumerates exactly what is returned: CV, cover letter, answers, documents, timeline and the conversation. This is clear and concrete, but the verb is only implied and it never distinguishes itself from the close sibling get_application or from list_applicants, so an agent must still infer the boundary.

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 when-to-use guidance, no prerequisites, and no mention of the alternatives (get_application, list_applicants). The phrase 'One applicant in full' hints at a single-record lookup but leaves the choice between these sibling tools entirely to inference.

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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