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get_spec_metadata

Get enriched metadata for specifications with filtering.

    Args:
        spec_number: Filter by spec number (partial match)
        series: Filter by series (e.g., "26" for 26.xxx codecs)
        working_group: Filter by working group (e.g., "SA4")
        doc_class: Filter by document class - "TS" or "TR"
        limit: Maximum results (default: 50)
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
seriesNo
doc_classNo
spec_numberNo
working_groupNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior2/5

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

With no annotations provided, the description must fully disclose behavioral traits. It only says 'Get' implying read-only, but does not mention pagination, response size, authentication needs, or any caveats. The limit parameter hints at potential large result sets, but this is not explicitly discussed.

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

Conciseness4/5

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

The description is well-structured with a terse introductory sentence followed by a clear Args list. It avoids unnecessary prose, though the five-line parameter list is slightly longer than strictly minimal. Overall, it is efficient and scannable.

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?

An output schema exists, so return values do not need explanation. All five parameters are fully described, and the tool's purpose is clear enough. However, the vague term 'enriched metadata' and lack of sibling differentiation leave minor gaps, and no behavioral caveats are mentioned.

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

Parameters5/5

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

The schema descriptions are absent (0% coverage), but the description fully compensates by explaining each parameter: spec_number is a partial match, series uses examples like '26', working_group uses 'SA4', doc_class restricts to 'TS' or 'TR', and limit has a default of 50. This adds meaningful semantics beyond the bare 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 'Get enriched metadata for specifications with filtering' which clearly identifies a verb, resource, and filtering scope. However, it does not differentiate from sibling tools like search_specifications or list_documents, leaving some ambiguity about what makes this tool distinct.

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 explicit guidance is provided for when to use this tool versus alternatives. The description lists filtering parameters but does not mention exclusions, prerequisites, or compare to sibling tools like search_specifications or get_series_overview.

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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