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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
NameRequiredDescriptionDefault
qNoSubstring match on the element label.
roleNoElements required by this job role, e.g. compensation-analyst.
limitNoCap the rows returned (default 200). `total` always reports the true count.
has_jobNoOnly elements that some job requires (via a career guide).
ksao_typeNoknowledge | skill | ability | other — from a panel validated at 95.1% on gold O*NET labels. 'other' is UNVALIDATED (no gold labels existed for it).
capabilityNoElements taught by this capability (guide slug).
min_guidesNoOnly elements taught by >= N capabilities. 2 gives the cross-cutting spine.
conflictingNoOnly elements where 2+ non-career guides define the same label differently — these need a ruling.
construct_classNoperson-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_detailNoReturn ONE capability with its elements and books hydrated, instead of querying elements.
has_canon_identityNotrue = only elements resolved to a JobFrame canon component (an IDENTITY, panel-adjudicated). false = only unresolved.
canon_promotion_candidateNotrue = 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
NameRequiredDescriptionDefault
totalNo
elementsNo
returnedNo
capabilityNo
spine_metaYes
api_versionYes

Schema Changelog

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

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds valuable non-obvious behavior: ksao_type/canon_component_id are null by design, and null must be read as 'not yet joined' rather than 'no link'. This is meaningful behavioral context beyond the annotations and does not contradict them.

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 dense sentences with no filler: the first scopes the resource, and the second packs the highest-value usage recipes plus the critical null caveat. For a tool with 12 parameters, this is appropriately tight and front-loaded.

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?

With a full output schema, 100% schema description coverage, and read-only annotations, the remaining burden on the description is orientation and caveats. It supplies both: the join semantics across entities and the 'null is unresolved' rule. Nothing needed for safe invocation is missing.

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%, so the baseline is 3. The description adds workflow-level meaning by showing how to use min_guides, role, and capability_detail for specific intents, and by clarifying the null semantics for filtering and interpreting results. This goes beyond restating the 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 a specific action ('Traverse') and a precise resource ('capability spine' joining books, guides, KSAO elements, and jobs), then gives concrete filter modes. It does not explicitly contrast itself with siblings like list_guides or list_taxonomy, so it misses the full 5, but the scope is clear enough to orient an agent.

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 recipes: min_guides=2 for cross-cutting capabilities, role=<role> for job-required elements, and capability_detail=<slug> for a hydrated package. This tells the agent when to use each mode, though it does not explicitly say when to prefer sibling tools such as list_guides or list_taxonomy.

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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