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Run the skill-matrix gap analysis

run_skill_matrix
Read-onlyIdempotent

Runs Niels Langereis's skill-matrix gap analysis for one role and shows it as an interactive matrix the user can edit (who does the work now, bench depth, formation actions). Draft 6 to 10 competencies for the user's role yourself from what you know about it, spanning routine work AI can now do with senior oversight, work AI already runs autonomously, and judgement work that needs a human. Set bench (how many people can do it at the strategic level) from what the user told you; if unknown, use 1 and say it is an estimate they should correct. Omit competencies to show the generic analyst example. The result flags 'At risk' (human work, one person deep), 'Thin' (two deep) and 'Reps gone' (AI runs it autonomously, so the formation that used to happen in reviewing it has gone too: ask where juniors get those reps now). After the user edits, their current matrix arrives in your context.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
roleNoThe role being analysed, e.g. 'Marketing manager at a 200-person B2B firm'.
competenciesNoThe competencies for this role.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

The annotations only cover safety (readOnly, idempotent, non-destructive). The description goes well beyond that: it discloses the interactive edit loop, that the user-edited matrix returns to context, what the result flags mean ('At risk', 'Thin', 'Reps gone'), and the fallback bench behavior. No assertion conflicts with the read-only annotations.

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?

Purpose and output are front-loaded, and every sentence carries actionable instruction. The middle paragraph is dense with parenthetical asides, which slightly hurts scannability, but there is little redundancy.

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 no output schema, the description carries return-value explanation and does so: it names the matrix, the three risk flags, and the post-edit context flow. Combined with the parametrization guidance, an agent has everything needed to call it correctly.

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, but the description adds genuine meaning beyond the schema: how many competencies to author (6-10), the bench default of 1 with the 'estimate they should correct' caveat, and the omit-to-use-example behavior. It does not, however, explain the who/category/tactical/execution fields beyond 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 and resource ('Runs ... skill-matrix gap analysis for one role') and says exactly what it produces ('interactive matrix the user can edit'). This is clearly distinguishable from siblings like get_skill_matrix_method (the method) and get_enterprise_ai_map (the phase map).

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?

Gives explicit operational conditions: draft 6-10 competencies yourself, use bench=1 with an 'estimate' caveat when unknown, and omit competencies to show the generic analyst example. It never names a sibling as an alternative or states exclusions, so it falls short of a full 5.

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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