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get_cluster

Fetch one ChangeGamer guide cluster (topic bundle) from the free editorial layer: pillar metadata, every sub-article with variant URLs, and the pillar’s full Markdown body. Use list_articles to discover cluster ids.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
cluster_idYesCluster id, e.g. "rag-in-production"

TDQS

A4.4/5.0
Behavior4/5

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

No annotations are present, so the description carries full burden. It does substantial work: clarifies it returns a structured bundle (pillar metadata, sub-articles with variant URLs, full Markdown body) and specifies the free editorial tier. Minor gaps remain (no error/not-found behavior, no auth requirements spelled out), but the read-only, compositional nature of the call is well conveyed.

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?

Front-loads the what (fetch a cluster bundle), details the return composition in one compact clause, and closes with a practical discovery tip. Every sentence earns its place; no redundancy or filler.

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?

Although there is no output schema, the description enumerates the three main return elements (pillar metadata, sub-articles with variant URLs, full Markdown body), so the agent knows what to expect. The required parameter and its example are covered by schema. Missing aspects are minor for a get-by-id tool: no explicit statement of error behavior for invalid cluster ids or indication of payload size, but the scope is well defined.

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% with a concrete example ("rag-in-production"), and the description adds provenance guidance ('extract from editorial layer,' 'Use listarticles to discover ids'), clarifying what the cluster_id identifies beyond the schema's 'Cluster id.' Since there is a single parameter and the cost of misuse is low, this is strong value above 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?

States a specific verb (fetch) and resource (ChangeGamer guide cluster/topic bundle) and enumerates the exact payload: pillar metadata, sub-articles with variant URLs, and the full Markdown body. This clearly differentiates it from siblings like get_resource and list_articles because it maps to a distinct 'cluster' concept with a defined composition.

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?

Explicitly tells the agent how to source a valid input ('Use list_articles to discover cluster ids') and scopes the tool to the 'free editorial layer,' which implies when no premium/access checks are needed. It does not explicitly state when NOT to use this tool, but the discovery hint and layer scoping give clear context.

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

A3.9/5.0
Disambiguation4/5

Most tools are clearly separated by resource type: articles, resources, corpus, stats, and articles. The main ambiguity is the access/pricing/payment cluster (`check_access`, `get_access_info`, `get_pricing`, `get_payment_info`), which agents could confuse despite distinct descriptions.

Naming Consistency5/5

All tool names follow a consistent `verb_noun` pattern, using `get_*`, `list_*`, and `search_*` prefixes. The naming stays readable and predictable even with broader tools like `search` and `search_resources`.

Tool Count4/5

14 tools is within the typical well-scoped range, and each major retrieval goal has a dedicated tool. It is slightly heavy because the access/pricing/payment information could arguably be consolidated, but it is not bloated.

Completeness4/5

The server covers discovery, listing, searching, fetching, corpus ingestion, editorial articles, stats, and access/pricing verification. As a read-only content/access server, full CRUD is not expected, though there is no direct category-based batch filter beyond a general search.

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