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Drive Read

drive_read

Read one Google Drive file by id (from drive_search) as text: a Google Doc or Slides as plain text, a Google Sheet as CSV (its first sheet), a text, CSV, JSON, Markdown or XML file as it is. Other files (PDF, images, Office) return their details and link only. Long files are cut; say so when you quote them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNoGoogle account e-mail to read as, when you have several; an agent reads as the account connected to it.
file_idYesThe file id from drive_search.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations to lean on, the description carries the full behavioral burden and does so well: it enumerates which MIME types are converted and to what (Doc/Slides to plain text, Sheets to CSV of the first sheet), which types fall back to details-and-link only (PDF, images, Office), and warns that long files are truncated with an instruction to disclose that when quoting.

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

Conciseness5/5

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

One dense front-loaded sentence covers the core operation and per-type behavior, with a short trailing sentence for the truncation caveat. No filler, every clause earns its place.

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

Completeness5/5

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

For a two-parameter read tool with no output schema, the description supplies exactly what is missing: the return shape per file type and the truncation caveat. An agent has enough to call it correctly and to report results honestly.

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 100%, so both parameters are already documented; the description still adds provenance value by noting file_id comes from drive_search. The account parameter's multi-account nuance is left to the schema.

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?

The description names a specific verb and resource (read one Google Drive file by id) and explicitly ties itself to the sibling that produces the id (drive_search), so an agent can distinguish it from drive_search and other read tools without opening a 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?

It clearly states the input comes from drive_search, which implies the search-then-read workflow, and it scopes usage to a single file. It stops short of explicitly saying when not to use it versus a search or list tool, so no exclusion guidance.

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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