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runtime_skill
Read-onlyIdempotent

Reads agent playbook to determine correct action: discover, route, or refuse before catalog calls. Returns skill markdown with display title and summary.

Instructions

Read the agent how-to (one door — discover, route, refuse; pipeline fraggate_list → fraggate_describe → fraggate_call). This is playbook markdown, not a catalog and not a machine manifest. Use this when starting a session or choosing the door before any catalog call. Do not use it for listing hashed registry names, hub Software-tab cards, or executing an engine; use fraggate_list, Softwares, or fraggate_call instead. Dual surface: agent chat has no technical UI chrome; Worker / Flutter / local install stay complete human software. Does not list slugs or run ops. Returns skill markdown plus display.title / display.summary.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeNoFragGate or fabric code when present: FG-OK, FG-HALLUC-TOOL, FG-STUB, FG-LOCAL-ONLY, FG-UNKNOWN-OP, FG-GATE-REFUSE, FG-LAMB-REFUSE, or a module refuse such as MESH-* / AKM-*.
doorNoDoor name. The public door is fraggate.
ran_inNoExecution locale (for example aziel-runtime) when present.
resultNoMachine payload. FragGate-style results commonly include ok, code, slug, op, status, engine_slug, engine_op, engine_digest, ran_in, provenance, refusal, limitations, and ledger_tip.
statusNoHTTP-like status when present on wrappers (200 ok; 400+ error / refuse).
displayNoHuman-facing envelope. Show title and summary, then take the next input.
receiptNoOptional receipt, ledger tip, or TemporalLock/ForgeReceipts exit when the door stamped one.
refusalNoExplicit refuse object, code, or message when the door or engine refused.
engine_opNoResolved engine op when present (often inside result).
ledger_tipNoAsk/refuse ledger tip when the door stamped one.
provenanceNoProvenance / input packet when the pipeline attached one.
session_idNoRaw session id when session plumbing was used. Hidden unless the user asked for the chain.
engine_slugNoResolved engine slug when present (often inside result).
limitationsNoCapability limitations or Remain-OFF notes when present.
engine_digestNo64-hex engine_digest when a true in-process engine ran (often inside result).

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed4 schema fields changedv1.6.2
    • changedInput schema / additionalProperties
      Previous value: -trueNew value: +false
    • addedInput schema / description
      Added value: +"No arguments. Send {}. Returns the agent skill text."
    • addedInput schema / properties
      Added value: +{}
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "additionalProperties": true,
      +  "description": "Display envelope shown to the user (display.title / display.summary) plus the machine result. Extra engine fields may appear.",
      +  "properties": {
      +    "code": {
      +      "description": "FragGate or fabric code when present: FG-OK, FG-HALLUC-TOOL, FG-STUB, FG-LOCAL-ONLY, FG-UNKNOWN-OP, FG-GATE-REFUSE, FG-LAMB-REFUSE, or a module refuse such as MESH-* / AKM-*.",
      +      "type": "string"
      +    },
      +    "display": {
      +      "additionalProperties": true,
      +      "description": "Human-facing envelope. Show title and summary, then take the next input.",
      +      "properties": {
      +        "fields": {
      +          "description": "Optional labeled scalars copied from the result for display.",
      +          "items": {
      +            "additionalProperties": true,
      +            "properties": {
      +              "label": {
      +                "description": "Field label.",
      +                "type": "string"
      +              },
      +              "value": {
      +                "description": "Field value as text.",
      +                "type": "string"
      +              }
      +            },
      +            "type": "object"
      +          },
      +          "type": "array"
      +        },
      +        "next": {
      +          "description": "What the agent should do after showing this output.",
      +          "type": "string"
      +        },
      +        "summary": {
      +          "description": "One-line outcome or refuse reason.",
      +          "type": "string"
      +        },
      +        "title": {
      +          "description": "Short result title for the AI client.",
      +          "type": "string"
      +        }
      +      },
      +      "type": "object"
      +    },
      +    "door": {
      +      "description": "Door name. The public door is fraggate.",
      +      "type": "string"
      +    },
      +    "engine_digest": {
      +      "description": "64-hex engine_digest when a true in-process engine ran (often inside result).",
      +      "type": "string"
      +    },
      +    "engine_op": {
      +      "description": "Resolved engine op when present (often inside result).",
      +      "type": "string"
      +    },
      +    "engine_slug": {
      +      "description": "Resolved engine slug when present (often inside result).",
      +      "type": "string"
      +    },
      +    "ledger_tip": {
      +      "description": "Ask/refuse ledger tip when the door stamped one."
      +    },
      +    "limitations": {
      +      "description": "Capability limitations or Remain-OFF notes when present."
      +    },
      +    "provenance": {
      +      "description": "Provenance / input packet when the pipeline attached one."
      +    },
      +    "ran_in": {
      +      "description": "Execution locale (for example aziel-runtime) when present.",
      +      "type": "string"
      +    },
      +    "receipt": {
      +      "description": "Optional receipt, ledger tip, or TemporalLock/ForgeReceipts exit when the door stamped one."
      +    },
      +    "refusal": {
      +      "description": "Explicit refuse object, code, or message when the door or engine refused."
      +    },
      +    "result": {
      +      "description": "Machine payload. FragGate-style results commonly include ok, code, slug, op, status, engine_slug, engine_op, engine_digest, ran_in, provenance, refusal, limitations, and ledger_tip."
      +    },
      +    "session_id": {
      +      "description": "Raw session id when session plumbing was used. Hidden unless the user asked for the chain.",
      +      "type": "string"
      +    },
      +    "status": {
      +      "description": "HTTP-like status when present on wrappers (200 ok; 400+ error / refuse).",
      +      "type": "integer"
      +    }
      +  },
      +  "type": "object"
      +}
  2. First observedv1.5.0

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true, so the safety profile is covered. The description adds meaningful behavioral context: it returns 'skill markdown plus display.title / display.summary', clarifies it does 'not list slugs or run ops', and explains the dual-surface nature (agent chat vs human software). This goes beyond the annotations and clarifies the exact output and non-actions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is long and densely packed, using jargon like 'one door — discover, route, refuse' and 'pipeline fraggate_list → fraggate_describe → fraggate_call' that may confuse. It is front-loaded with the core action but then adds many caveats and clarifications. For a zero-parameter tool, it could be more concise, though the information is structured logically.

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?

The description is complete for a read-only, zero-argument tool. It states what is returned (skill markdown plus display fields), clarifies what it is not (catalog/manifest), specifies when to use, and enumerates non-actions. With annotations covering safety and an output schema present, nothing an agent needs to call it correctly 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?

The tool has zero parameters, and the schema description already covers this with 'No arguments. Send {}'. Per the rubric, a 0-param tool earns a baseline of 4. The description does not add parameter-specific details because none exist, so the baseline is appropriate.

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?

The description clearly states the purpose: 'Read the agent how-to' – a specific verb and resource. It differentiates itself from siblings by asserting it is 'playbook markdown, not a catalog and not a machine manifest', and explicitly mentions 'fraggate_list, Softwares, or fraggate_call' as alternatives, making its unique role unmistakable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit usage guidance is provided: 'Use this when starting a session or choosing the door before any catalog call.' It also gives a clear when-not-to-use list with named alternatives for each exclusion ('fraggate_list, Softwares, or fraggate_call instead'), fully covering the when/alternatives spectrum.

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