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docs_read_document

Read the text of a Google Doc by ID or URL. Returns plain text for each tab, combined text, document metadata, and tables as tab-separated rows.

Instructions

Read the text of a Google Doc. Returns plain text for each tab (including nested tabs), plus combined text and document metadata. Tables are rendered as tab-separated rows.

Input Schema

NameRequiredDescriptionDefault
emailNoGoogle account email. May be omitted when exactly one account is configured; required when multiple accounts are configured.
document_id_or_urlYesA Google Docs document ID or full docs.google.com document URL

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose the return shape (plain text per tab, combined text, metadata, tables rendered as TSV rows), which is genuinely useful. However it says nothing about authentication/account selection, rate limits, large-document truncation, or error behavior for inaccessible docs.

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?

Three tight sentences, front-loaded with the core action and then the return format. Every sentence carries information; nothing is padding.

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?

Since there is no output schema, the description usefully compensates by describing the returned text structure and TSV table rendering. It is still incomplete regarding the multi-account email requirement (only covered in schema) and failure modes, which it leaves to the schema.

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%, so both parameters (email, document_id_or_url) are fully documented in the schema. The description adds no parameter-level detail beyond that, 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?

States a specific verb and resource ('Read the text of a Google Doc') and scopes the output precisely (per-tab text, nested tabs, combined text, metadata, tables as TSV). It never distinguishes itself from the sibling docs_get_document, so an agent must infer which of the two returns raw text versus structure.

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 guidance, no statement of alternatives (docs_get_document, drive_read_file), and no prerequisites such as which account or permission is needed. Usage is only implied by the verb 'Read'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.