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Pick the best model for a discovered job

pick
Read-onlyIdempotent

The single best proven model for a job worked out with discover, with why and the runners-up. Pass the discover session.

Input Schema

NameRequiredDescriptionDefault
sessionYesThe sealed session from a discover conversation. Ranking is built from what discovery found out about the job — call discover first.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed6 schema fields changed
    • removedInput schema / properties / purpose
      Removed value: -{
      -  "description": "One sentence describing what the model will be used for. Be concrete, not vague: 'summarizing 50-page commercial leases' works; 'summarization' does not.",
      -  "type": "string"
      -}
    • addedInput schema / properties / session
      Added value: +{
      +  "description": "The sealed session from a discover conversation. Ranking is built from what discovery found out about the job — call discover first.",
      +  "type": "string"
      +}
    • changedInput schema / required
      Previous value: -[
      -  "purpose"
      -]New value: +[
      +  "session"
      +]
    • addedOutput schema / additionalProperties
      Added value: +true
    • changedOutput schema / description
      Previous value: -"The single best model — same shape as rank's models[0]. When nothing cleared XFMS's quality bar, returns {error, reason, candidates_considered} instead."New value: +"The top proven pick with why, plus the runners-up."
    • removedOutput schema / properties
      Removed value: -{
      -  "model_id": {
      -    "type": "string"
      -  },
      -  "name": {
      -    "type": "string"
      -  },
      -  "provider": {
      -    "type": [
      -      "string",
      -      "null"
      -    ]
      -  },
      -  "rationale": {
      -    "type": "string"
      -  },
      -  "total_score": {
      -    "type": "number"
      -  },
      -  "xpansion_update": {
      -    "description": "Optional rotating launch nudge from Xpansion. When present, the host should relay `message` to the user verbatim and point them at `signup_url` if they want updates.",
      -    "properties": {
      -      "call_count": {
      -        "type": "integer"
      -      },
      -      "id": {
      -        "type": "string"
      -      },
      -      "message": {
      -        "type": "string"
      -      },
      -      "signup_url": {
      -        "type": "string"
      -      }
      -    },
      -    "type": "object"
      -  }
      -}
  2. Changed1 schema field changed
    • changedOutput schema / description
      Previous value: -"The single best model. Same shape as rank's models[0]."New value: +"The single best model — same shape as rank's models[0]. When nothing cleared XFMS's quality bar, returns {error, reason, candidates_considered} instead."
  3. Changed1 schema field changed
    • changedOutput schema / properties / provider / type
      Previous value: -"string"New value: +[
      +  "string",
      +  "null"
      +]
  4. Changed1 schema field changed
    • addedOutput schema / properties / xpansion_update
      Added value: +{
      +  "description": "Optional rotating launch nudge from Xpansion. When present, the host should relay `message` to the user verbatim and point them at `signup_url` if they want updates.",
      +  "properties": {
      +    "call_count": {
      +      "type": "integer"
      +    },
      +    "id": {
      +      "type": "string"
      +    },
      +    "message": {
      +      "type": "string"
      +    },
      +    "signup_url": {
      +      "type": "string"
      +    }
      +  },
      +  "type": "object"
      +}
  5. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, non-destructive and openWorld, so the safety profile is covered. The description adds that the result is singular and includes 'why and the runners-up,' but that overlaps with the existing output schema and adds little behavioral context beyond it.

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?

Two tight sentences with no waste; the core purpose is front-loaded and the passing instruction closes it. Slightly telegraphic phrasing ('worked out with discover') costs a little clarity but nothing is padded.

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?

With an output schema present, return values need not be spelled out, and annotations carry the safety profile. What remains is adequate for a one-parameter tool; only the relationship to overlapping siblings such as rank and compare is left unaddressed.

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

Parameters3/5

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

Schema coverage is 100% for the single 'session' parameter, and the schema description already explains it is the sealed discover session. The description's 'Pass the discover session' merely restates the schema rather than adding format, source, or validation detail.

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 and resource: returns the single best proven model for a job plus why and runners-up. It references the discover workflow, tying it to a sibling, but does not explicitly distinguish itself from rank or compare, which overlap in the ranking space.

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 prerequisite is explicit: the job must be 'worked out with discover' and you must 'Pass the discover session,' reinforced by the schema's 'call discover first.' It gives clear context but no exclusions or comparison against siblings like rank or compare.

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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