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baton_task_graph

내 task DAG와 edge를 조회한다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

C2.4/5.0
Behavior2/5

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

No annotations provided, so description must disclose behavior. It implies a read operation via '조회한다' (query), but does not explicitly state it's read-only, nor mention authentication requirements (api_key hints at auth). No detail on side effects or rate limits.

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

Conciseness3/5

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

The description is a single sentence, front-loading the purpose. However, it is too minimal to be fully useful; conciseness is good but at the expense of completeness.

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

Completeness1/5

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

With no output schema, no annotations, and only one brief sentence, the description is incomplete. It lacks details on return format, scope ('my'), and relationship to graph structure.

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

Parameters1/5

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

Schema coverage is 0% for the single parameter api_key, and the description does not explain the parameter's purpose or format. It adds no value beyond the schema.

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 states it queries 'my task DAG and edges', indicating a specific verb and resource. Among siblings like baton_task_create and baton_task_update, this tool is clearly about retrieving graph structure, though 'my' is ambiguous.

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?

No guidance on when to use this tool versus alternatives (e.g., baton_task_link for edges). No context on prerequisites or exclusions.

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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TDQS

C2.9/5.0
Disambiguation4/5

Most tools have distinct purposes due to detailed descriptions, but some potential overlaps exist (e.g., baton_revoke, baton_close_room, baton_leave). The complex domain is well-differentiated overall.

Naming Consistency3/5

The baton_ and spider_ prefixes provide consistency, but within baton_ there is a mix of verb-only, noun, and verb_noun patterns (e.g., baton_approve vs baton_account). Not fully predictable.

Tool Count2/5

With 45 tools, the server is very large and may overwhelm agents. While the domain is complex, many tools could potentially be consolidated, making the count excessive.

Completeness4/5

The tool surface covers account, room, handoff, verification, cost, memory, hub, task, and spider domains thoroughly. Minor gaps exist (e.g., no explicit tool to list rooms), but core workflows are well-supported.