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ParseHub.dev (documents to records)

ask_document

Answer a question about a document in the caller's own upload directory.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "file_path": "<file_path>",
      "question": "<question>"
    },
    "name": "ask_document"
  }
}

Input Schema

NameRequiredDescriptionDefault
questionYes
file_pathYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full burden, yet it says nothing about whether this is read-only, whether the file must already be uploaded, what happens on a missing path, or that the answer is LLM-generated (cost/latency implications). Only the directory-scoping constraint is disclosed.

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?

A single front-loaded sentence with no filler; the action and the scoping constraint come first. Brevity works against it here only because content is missing, not because wording is padded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No annotations, no output schema, and zero parameter descriptions mean the description is the only source of contract information, and it says nothing about return shape, grounding, error cases, or prerequisites. For a two-parameter generative tool this is under-specified.

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 0% for both required parameters, so the description must compensate. It does clarify that file_path refers to a document inside the caller's own upload directory and that question is a natural-language query, but it adds no detail on path form (filename vs relative path) or question length/scope.

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 ('Answer a question about a document') and scopes it to 'the caller's own upload directory', which quietly separates it from the database-oriented siblings. It does not name read_document, which is the nearest overlapping tool, so a sibling-differentiation sentence is missing.

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 when-to-use/when-not guidance and no mention of alternatives such as read_document or get_database_document. An agent can infer a Q&A flow, but nothing tells it when a direct read or summarize call would be better.

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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