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coalesce-transform-mcp

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COA Describe

coa_describe
Read-onlyIdempotent

Retrieve documentation for a specific COA topic, such as commands or schemas, with optional subtopic and cache refresh.

Instructions

Fetch a section of COA's self-describing documentation. Wraps coa describe <topic> [<subtopic>].

Well-known topics (also available as coalesce://coa/describe/* resources): overview, commands, selectors, schemas, workflow, structure, concepts, sql-format, node-types, config.

Use subtopic for the parameterized topics:

  • topic='command', subtopic='' — deep-dive on a specific command

  • topic='schema', subtopic='' — full JSON schema for a file type

Args:

  • topic (string, required)

  • subtopic (string, optional)

  • refresh (boolean, optional): bypass the on-disk cache and re-run COA

Returns: { topic, subtopic?, source (memory|disk|coa), content, coaVersion }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYesDescribe topic. Well-known topics: overview, commands, selectors, schemas, workflow, structure, concepts, sql-format, node-types, config. You may also pass 'command' or 'schema' together with a subtopic.
refreshNoForce bypass of the on-disk cache and re-run `coa describe`. Defaults to false.
subtopicNoOptional subtopic (command name for topic='command', schema type for topic='schema').

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicNo
sourceNo
contentNo
subtopicNo
coaVersionNo
Behavior4/5

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

Annotations indicate read-only and idempotent. The description adds caching behavior (defaults to disk cache, can refresh with 'refresh' parameter) and describes the 'source' field in the return value. No contradictions.

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 concise and well-structured: a summary sentence, then bullet points for parameters and return value. No fluff, front-loaded with purpose.

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?

Given the output schema exists, the description does not need to detail return format, but it provides a brief summary. It covers usage, parameters, and behavior completely for a documentation tool.

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 coverage is 100%, but the description adds value by listing well-known topics, explaining subtopic usage for 'command' and 'schema', and clarifying the 'refresh' parameter's effect on cache.

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 fetches documentation sections, uses the verb 'Fetch', specifies the resource ('section of COA's self-describing documentation'), and distinguishes itself from siblings that perform actions on nodes or environments.

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?

The description explains when to use (to get documentation), lists well-known topics, and describes parameterized usage. While it does not explicitly state when not to use or name alternatives, the sibling context implies its specific role.

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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