method
Read a free method by exact catalog ID. Returns provenance and limitations.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Rasczak Knowledge Commons
Schema Changelog
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
- First observed
TDQS
A4/5.0
Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the behavioral disclosure burden. It conveys a read-only operation and promises provenance/limitations in the response, but does not mention errors, access requirements, or behavior for invalid IDs.
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?
Two sentences with no extraneous words. The action, key constraint, and return content are all front-loaded.
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?
For a low-complexity single-parameter read tool, the description covers what to pass and what to expect back. It does not detail the shape of provenance/limitations, but no output schema exists and the tool is simple enough that this is a minor gap.
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?
Although the schema's id property only provides type and maxLength, the description adds semantic meaning: the id must be a 'catalog ID' and must match 'exact[ly]'. This compensates for the 0% schema description coverage.
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?
Description states a clear verb ('Read'), a specific resource ('free method'), and a precise filter ('exact catalog ID'). It further specifies the return content ('provenance and limitations'), which distinguishes it from siblings like catalog and pack_offer.
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 phrase 'exact catalog ID' implies the intended use case: the caller already has the ID and needs an exact lookup. However, it never explicitly states when to use this tool over siblings, nor gives exclusions or conditions.
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
A3.8/5.0
Disambiguation4/5
Each tool targets a distinct resource: catalog lists available items, kit_catalog previews unevaluated kits, method reads free methods, pack_offer returns payable URLs, and research_feedback is the only write action. However, catalog vs kit_catalog and the preview-style tools (kit_catalog, research_preview) have close enough names/functions to cause occasional misselection.
Naming Consistency5/5
All tool names follow the same lowercase snake_case noun-phrase convention, such as catalog, kit_catalog, pack_offer, and research_preview. There is no mixing of styles or inconsistent verb usage.
Tool Count5/5
Seven tools is well-scoped for a knowledge-commons server covering catalogs, free content, paid offers, previews, samples, and feedback. Each tool has a clear purpose and none feel redundant.
Completeness4/5
Core workflows are covered: browse catalogs, read free methods, obtain payable pack URLs, preview research, fetch a sample pack, and submit feedback. There is no explicit decision-pack content reader or purchase tool, but pack_offer intentionally stops at the payable URL, suggesting a deliberate boundary rather than a dead end.