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Track a Document Request

get_request
Read-onlyIdempotent

Read checklist receipt, Human Approval status, deadlines and recorded reminder progress. Give request_id or search the title, Client name or email. If several requests match, ask the Professional to select a candidate and call again with its id. Received does not mean approved. This tool sends no reminder. Open DokuTrak to read files or make Human Approval decisions.

Input Schema

NameRequiredDescriptionDefault
searchNo
request_idNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnly/idempotent/non-destructive, so the safety profile is covered. The description adds genuinely new context: 'Received does not mean approved', 'This tool sends no reminder', and that file reading or approval decisions must happen in DokuTrak — useful domain semantics an agent would otherwise have to guess.

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?

Front-loaded with the return payload, then lookup mechanics, then disambiguation, then two scoping caveats. Five short sentences with no filler; slightly breathless but every sentence carries information.

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 no output schema, the description steps in by enumerating what is read (receipt, approval status, deadlines, reminder progress) and where the remaining actions live (DokuTrak). This is sufficient for an agent to call and interpret the tool correctly, missing only explicit sibling routing.

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

Parameters4/5

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

Schema description coverage is 0%, so the description must compensate, and it does: it explains that 'search' matches title, Client name or email and that 'request_id' is the precise alternative. It does not mention format constraints (UUID) or the either/or exclusivity, but the semantic meaning of both params is now clear.

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 opens with a concrete verb+resource: read a document request's checklist receipt, Human Approval status, deadlines and reminder progress. It is clear what the tool returns, but it never names or contrasts itself against siblings like prepare_request or review_request, so the differentiation is left to inference.

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?

It states exactly how to identify the target ('Give request_id or search the title, Client name or email') and prescribes a disambiguation flow when multiple requests match. It also implicitly excludes reminder sending, though it does not explicitly name send_request as the alternative for that action.

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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