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Glama

unw_candidates

Resolve unmet degree requirements to sections offered in a term, returning reasons when no candidates exist; limit or compact results for broad queries.

Instructions

Resolve unmet requirements to sections offered in term (wraps the catalog resolver). requirement matches an id, title, parent group or target; omit it for every unmet requirement. Every empty result carries the reason (never offered / all closed / already completed). limit caps candidates per requirement (0=all); compact omits repeated section detail. One requirement can be large, so prefer compact/limit for broad queries.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "term": "<term>"
    },
    "name": "unw_candidates"
  }
}

Input Schema

NameRequiredDescriptionDefault
termYes
limitNo
compactNo
refreshNo
open_onlyNo
requirementNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.9/5.0
Behavior3/5

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

No annotations, so the description carries the full burden; it does disclose valuable behavior — empty results always carry a reason (never offered / all closed / already completed) and compact drops repeated section detail. However it never states the return structure beyond that, nor whether the call is purely read-only or what refresh implies, leaving gaps for a no-annotation tool.

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?

Front-loaded with the core action in the first clause, then compact parenthetical notes for behavioral edge cases and parameter hints. No filler sentences; every clause conveys usable information.

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 6-param tool with no annotations and no output schema, the description covers purpose, the meaning of most parameters, empty-result semantics and a size/perf caution. The unexplained refresh and open_only parameters are the main remaining hole.

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?

With 0% schema coverage across 6 params, the description meaningfully explains four of them: term, requirement (matches id, title, parent group or target; omit for all), limit (0=all) and compact (omits repeated section detail). refresh and open_only are left entirely undefined, which keeps it short of full compensation.

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?

States a specific verb+resource: 'Resolve unmet requirements to sections offered in ``term``', plus a parenthetical noting it wraps the catalog resolver. An agent can tell this maps requirements to candidate sections, though it doesn't explicitly distinguish itself from siblings like unw_remaining or unw_roadmap.

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 actionable usage conditions: omit ``requirement`` to cover every unmet requirement, and prefer ``compact``/``limit`` for broad queries because a single requirement can be large. It does not name alternative tools or when not to use this one, but the in-tool selection guidance is clear.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.