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ParseHub.dev (documents to records)

extract_stored_meeting_notes

Extract meeting notes from a stored document and save them for the caller.

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": {
      "document_id": "<document_id>"
    },
    "name": "extract_stored_meeting_notes"
  }
}

Input Schema

NameRequiredDescriptionDefault
document_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It says notes are 'save[d] ... for the caller' but does not say where they are saved, what is returned, whether an existing extraction is overwritten, or what happens if the document contains no notes.

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 trailing clause about saving is vague rather than wasteful, so the structure is efficient but one phrase does little work.

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?

For a one-parameter tool this could be adequate, but with no annotations, no output schema, 0% schema coverage, and a near-duplicate sibling (`extract_meeting_notes`), the description leaves the agent guessing about the return value, the save destination, and sibling selection.

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

Parameters2/5

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

Schema description coverage is 0% and the description adds no meaning to `document_id` — not its format, nor where it comes from (presumably `list_database_documents`). The parameter name is nearly self-explanatory, which avoids a 1, but the description compensates for nothing.

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 gives a specific verb (extract) and resource (meeting notes) with a named source (a stored document), which is far better than a tautology. However, it never distinguishes this tool from the sibling `extract_meeting_notes`, so an agent cannot tell which of the two to pick from the definition alone.

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 statement of when to use this tool versus `extract_meeting_notes`, `get_database_document`, or `read_document`. The only hint is the word 'stored', which implies the document must already exist, but no prerequisites or alternatives are named.

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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