Skip to main content
Glama

Doco Summary

doco_summary
Read-onlyIdempotent

Fetch document, folder, or knowledge base summaries or query async generation status. Includes source blocks, versions, coverage, freshness, and fallback.

Instructions

读取章节、文档、文件夹或知识库摘要,或查询异步生成任务。结果带来源块、来源版本、覆盖率、freshness 与 fallback 语义;模型关闭时仍始终可用。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryNoOptional question or summary query.
scopeNoSummary scope: document, folder, or knowledge_base.
job_idNo传入时改为查询摘要生成任务
block_idNoStable block ID within the target document.
target_idNoDocument, folder, or knowledge base ID.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior4/5

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

The description adds that results include source blocks, source versions, coverage, freshness, and fallback semantics, and that it is always available even when the model is off. This goes beyond the annotations, which only state read-only, idempotent, and non-destructive. It does not detail behavior when querying an incomplete async job, but overall adds useful context.

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?

The description is two sentences, starting with the main purpose, and includes essential details without superfluous text.

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?

Given the output schema exists and annotations cover safety, the description adequately conveys the tool's main functions and result characteristics. It could elaborate on parameter relationships or expected error scenarios, but it is sufficient for an agent to select and invoke the tool.

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?

Each parameter has a description, covering 100% of the schema. The descriptions explain the role of query, scope, job_id, block_id, and target_id. However, they do not clarify how parameters combine (e.g., whether job_id supersedes target_id) or which are mutually exclusive, so the description adds limited semantic depth beyond 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 clearly states the tool reads summaries of various scopes (document, folder, knowledge base) and also queries asynchronous generation tasks. It distinguishes itself from siblings like doco_save_summary or doco_rebuild_summary by focusing on reading.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not explicitly specify when to use this tool versus alternative tools like doco_get_document or doco_outline. It implies usage for retrieving summaries, but lacks direct guidance or conditions.

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