guide-registry

Traverse the capability spine (books · guides · KSAO elements · jobs)

list_capabilities

Read-only

Traverse the capability spine joining books, guides (capability packages), KSAO-grade elements and jobs. Use min_guides=2 for the cross-cutting capabilities that span many guides, role= for what a job requires, capability_detail= for one package with its elements and books hydrated. ksao_type/canon_component_id are null by design where unresolved — treat null as 'not yet joined', never as 'no link'.

Input Schema

TableJSON Schema

Name	Required	Description
`q`	No	Substring match on the element label.
`role`	No	Elements required by this job role, e.g. compensation-analyst.
`limit`	No	Cap the rows returned (default 200). `total` always reports the true count.
`has_job`	No	Only elements that some job requires (via a career guide).
`ksao_type`	No	knowledge \| skill \| ability \| other — from a panel validated at 95.1% on gold O*NET labels. 'other' is UNVALIDATED (no gold labels existed for it).
`capability`	No	Elements taught by this capability (guide slug).
`min_guides`	No	Only elements taught by >= N capabilities. 2 gives the cross-cutting spine.
`conflicting`	No	Only elements where 2+ non-career guides define the same label differently — these need a ruling.
`construct_class`	No	person-attribute (knowledge/skill/ability — what a JOB requires and a learner develops) \| condition-or-outcome (what a capability PRODUCES, e.g. 'Retention & Workforce Stability'). Only ~30% of elements are person attributes — filter to these for 'what does this role need'.
`capability_detail`	No	Return ONE capability with its elements and books hydrated, instead of querying elements.
`has_canon_identity`	No	true = only elements resolved to a JobFrame canon component (an IDENTITY, panel-adjudicated). false = only unresolved.
`canon_promotion_candidate`	No	true = only elements the JobFrame canon has NO component for. This is a real answer, not a failed lookup — these are the constructs to PROMOTE into the canon.

Output Schema

TableJSON Schema

Name	Required	Description	Default
`total`	No
`elements`	No
`returned`	No
`capability`	No
`spine_meta`	Yes
`api_version`	Yes

Schema Changelog

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

First observedSep 8, 2026

TDQS

A4.4/5.0

Behavior5/5

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

The description adds valuable behavioral context beyond the readOnlyHint annotation: null values mean 'not yet joined' rather than 'no link', only ~30% of elements are person attributes, and ksao_type has validation caveats. This meaningfully reduces misinterpretation risk for an agent.

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 compact and each sentence earns its place: the first defines the traversal, the second gives concrete usage patterns, and the third handles null semantics. Information is front-loaded with no filler.

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?

For a 12-parameter read-only traversal with a full output schema and complete schema descriptions, the description covers the conceptual model, key usage recipes, and the most dangerous misinterpretation (null handling). It appropriately leaves granular parameter details to the schema.

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?

The input schema already documents all 12 parameters, so the baseline is 3. The description elevates this by explaining how select parameters work together—min_guides=2, role, capability_detail—and how to interpret null results for unresolved joins. This is useful but does not deeply augment every parameter.

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 clearly states a specific traversal operation joining books, guides, capability packages, KSAO-grade elements, and jobs, so an agent understands the tool's scope. It does not explicitly contrast with sibling tools like list_guides or get_guide, but the cross-entity joining language makes the purpose reasonably distinct.

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 gives explicit parameter recipes: min_guides=2 for cross-cutting capabilities, role=<role> for job requirements, and capability_detail=<slug> for a hydrated package. It does not name alternatives or say when not to use this tool versus list_guides/get_guide/list_taxonomy, so it lacks explicit 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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