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Create Sleepwalker visibility run

create_sleepwalker_visibility_run

Queue a saved AI Visibility run from prompts x platforms or explicit probes.

Use this when the user wants reportable probe results, not just prompt ideas. This starts queued work and returns quickly with a run_id; poll get_sleepwalker_visibility_run_status until the run is terminal instead of creating duplicate runs. Platforms accept canonical slugs or common labels: perplexity, openai/ChatGPT, grok, gemini. To pin AI models, pass the models map with matrix mode (per platform) or set model on explicit probes (per probe); values are model ids from list_sleepwalker_visibility_models or the keywords latest / prior / default. Every model has its own per-probe price, defaults included; call list_sleepwalker_visibility_models for the exact credits_per_probe before quoting cost. Results record the exact model that answered each probe. The response includes credit fields when credits are reserved.

Input Schema

NameRequiredDescriptionDefault
urlYesPublic page URL to analyze.
modelsNoPer-platform model overrides for matrix mode, e.g. {"openai": "latest", "gemini": "gemini-4-argon"}. Values are model ids from list_sleepwalker_visibility_models or the keywords latest / prior / default. Platforms not listed run their default model at that model's own price; read every model's exact credits_per_probe from list_sleepwalker_visibility_models.
probesNoExplicit probe list. Use when prompts, models, or locales differ per platform; otherwise use prompts x platforms, optionally with the models map.
countryNoMarket context for analysis. Use ISO country codes such as US, NL, DE, or EE.US
promptsNoQuestions to ask across selected AI platforms.
languageNoLanguage for analysis and generated text. Use ISO language codes such as en, nl, de, or et.en
platformsNoAI platforms to query. Use perplexity, openai or ChatGPT, grok or xAI, and gemini.
competitorsNoOptional competing brands or entities to track alongside the target.
target_entityYesBrand, product, person, or organization to track in AI answers.
idempotency_keyNoOptional stable key for retries. Reusing it helps avoid duplicate queued runs.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / properties / models / description
      Previous value: -"Per-platform model overrides for matrix mode, e.g. {\"openai\": \"latest\", \"perplexity\": \"sonar-pro\"}. Values are model ids from list_sleepwalker_visibility_models or the keywords latest / prior / default. Platforms not listed run their default model at that model's own price; read every model's exact credits_per_probe from list_sleepwalker_visibility_models."New value: +"Per-platform model overrides for matrix mode, e.g. {\"openai\": \"latest\", \"gemini\": \"gemini-4-argon\"}. Values are model ids from list_sleepwalker_visibility_models or the keywords latest / prior / default. Platforms not listed run their default model at that model's own price; read every model's exact credits_per_probe from list_sleepwalker_visibility_models."
  2. Changed4 schema fields changed
    • changedInput schema / $defs / McpProbeInput / properties / model / description
      Previous value: -"Pin the AI model for this probe: a model id from list_sleepwalker_visibility_models, or a role keyword: latest (current flagship), prior (previous generation), default. Omit for the platform default. Each non-default model has its own per-probe credit price (varies by model, not just tier); read credits_per_probe from list_sleepwalker_visibility_models."New value: +"Pin the AI model for this probe: a model id from list_sleepwalker_visibility_models, or a role keyword: latest (current flagship), prior (previous generation), default. Omit for the platform default. Every model, including a default, resolves to its own per-probe credit price; read credits_per_probe from list_sleepwalker_visibility_models."
    • changedInput schema / properties / country / description
      Previous value: -"Market context for analysis. Use ISO country codes such as US, NL, or DE."New value: +"Market context for analysis. Use ISO country codes such as US, NL, DE, or EE."
    • changedInput schema / properties / language / description
      Previous value: -"Language for analysis and generated text. Use ISO language codes such as en, nl, or de."New value: +"Language for analysis and generated text. Use ISO language codes such as en, nl, de, or et."
    • changedInput schema / properties / models / description
      Previous value: -"Per-platform model overrides for matrix mode, e.g. {\"openai\": \"latest\", \"perplexity\": \"sonar-pro\"}. Values are model ids from list_sleepwalker_visibility_models or the keywords latest / prior / default. Platforms not listed run their default model at that model's own price (1 credit on most platforms); every model's credits_per_probe comes from list_sleepwalker_visibility_models."New value: +"Per-platform model overrides for matrix mode, e.g. {\"openai\": \"latest\", \"perplexity\": \"sonar-pro\"}. Values are model ids from list_sleepwalker_visibility_models or the keywords latest / prior / default. Platforms not listed run their default model at that model's own price; read every model's exact credits_per_probe from list_sleepwalker_visibility_models."
  3. Changed1 schema field changed
    • changedInput schema / properties / models / description
      Previous value: -"Per-platform model overrides for matrix mode, e.g. {\"openai\": \"latest\", \"perplexity\": \"sonar-pro\"}. Values are model ids from list_sleepwalker_visibility_models or the keywords latest / prior / default. Platforms not listed use their default model (1 credit per probe); each non-default model has its own per-probe price from list_sleepwalker_visibility_models."New value: +"Per-platform model overrides for matrix mode, e.g. {\"openai\": \"latest\", \"perplexity\": \"sonar-pro\"}. Values are model ids from list_sleepwalker_visibility_models or the keywords latest / prior / default. Platforms not listed run their default model at that model's own price (1 credit on most platforms); every model's credits_per_probe comes from list_sleepwalker_visibility_models."
  4. Changed1 schema field changed
    • changedInput schema / $defs / McpProbeInput / properties / model / description
      Previous value: -"Pin the AI model for this probe: a model id from list_sleepwalker_visibility_models, or a role keyword: latest (current flagship), prior (previous generation), default. Omit for the platform default. Each non-default model has its own per-probe credit price (varies by model, not just tier) — read credits_per_probe from list_sleepwalker_visibility_models."New value: +"Pin the AI model for this probe: a model id from list_sleepwalker_visibility_models, or a role keyword: latest (current flagship), prior (previous generation), default. Omit for the platform default. Each non-default model has its own per-probe credit price (varies by model, not just tier); read credits_per_probe from list_sleepwalker_visibility_models."
  5. Changed2 schema fields changed
    • changedInput schema / $defs / McpProbeInput / properties / model / description
      Previous value: -"Pin the AI model for this probe: a model id from list_sleepwalker_visibility_models, or a role keyword: latest (current flagship), prior (previous generation), default. Omit for the platform default. Non-default models cost their tier price in credits."New value: +"Pin the AI model for this probe: a model id from list_sleepwalker_visibility_models, or a role keyword: latest (current flagship), prior (previous generation), default. Omit for the platform default. Each non-default model has its own per-probe credit price (varies by model, not just tier) — read credits_per_probe from list_sleepwalker_visibility_models."
    • changedInput schema / properties / models / description
      Previous value: -"Per-platform model overrides for matrix mode, e.g. {\"openai\": \"latest\", \"perplexity\": \"sonar-pro\"}. Values are model ids from list_sleepwalker_visibility_models or the keywords latest / prior / default. Platforms not listed use their default model (1 credit per probe); non-default models cost their tier price."New value: +"Per-platform model overrides for matrix mode, e.g. {\"openai\": \"latest\", \"perplexity\": \"sonar-pro\"}. Values are model ids from list_sleepwalker_visibility_models or the keywords latest / prior / default. Platforms not listed use their default model (1 credit per probe); each non-default model has its own per-probe price from list_sleepwalker_visibility_models."
  6. Changed4 schema fields changed
    • addedInput schema / $defs
      Added value: +{
      +  "McpProbeInput": {
      +    "description": "One explicit AI Visibility probe: a prompt on a platform, optionally pinned to a model.",
      +    "properties": {
      +      "country": {
      +        "anyOf": [
      +          {
      +            "type": "string"
      +          },
      +          {
      +            "type": "null"
      +          }
      +        ],
      +        "default": null,
      +        "description": "ISO country code; defaults to the run-level country.",
      +        "title": "Country"
      +      },
      +      "language": {
      +        "anyOf": [
      +          {
      +            "type": "string"
      +          },
      +          {
      +            "type": "null"
      +          }
      +        ],
      +        "default": null,
      +        "description": "ISO language code; defaults to the run-level language.",
      +        "title": "Language"
      +      },
      +      "model": {
      +        "anyOf": [
      +          {
      +            "type": "string"
      +          },
      +          {
      +            "type": "null"
      +          }
      +        ],
      +        "default": null,
      +        "description": "Pin the AI model for this probe: a model id from list_sleepwalker_visibility_models, or a role keyword: latest (current flagship), prior (previous generation), default. Omit for the platform default. Non-default models cost their tier price in credits.",
      +        "title": "Model"
      +      },
      +      "platform": {
      +        "description": "Platform slug or label: perplexity, openai/ChatGPT, grok/xAI, gemini.",
      +        "title": "Platform",
      +        "type": "string"
      +      },
      +      "prompt": {
      +        "description": "Prompt to execute on the platform.",
      +        "title": "Prompt",
      +        "type": "string"
      +      },
      +      "target_entity": {
      +        "anyOf": [
      +          {
      +            "type": "string"
      +          },
      +          {
      +            "type": "null"
      +          }
      +        ],
      +        "default": null,
      +        "description": "Overrides the run-level target entity for this probe.",
      +        "title": "Target Entity"
      +      }
      +    },
      +    "required": [
      +      "prompt",
      +      "platform"
      +    ],
      +    "title": "McpProbeInput",
      +    "type": "object"
      +  }
      +}
    • addedInput schema / properties / models
      Added value: +{
      +  "anyOf": [
      +    {
      +      "additionalProperties": {
      +        "type": "string"
      +      },
      +      "type": "object"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "description": "Per-platform model overrides for matrix mode, e.g. {\"openai\": \"latest\", \"perplexity\": \"sonar-pro\"}. Values are model ids from list_sleepwalker_visibility_models or the keywords latest / prior / default. Platforms not listed use their default model (1 credit per probe); non-default models cost their tier price.",
      +  "title": "Models"
      +}
    • changedInput schema / properties / probes / anyOf
      Previous value: -[
      -  {
      -    "items": {
      -      "additionalProperties": true,
      -      "type": "object"
      -    },
      -    "type": "array"
      -  },
      -  {
      -    "type": "null"
      -  }
      -]New value: +[
      +  {
      +    "items": {
      +      "$ref": "#/$defs/McpProbeInput"
      +    },
      +    "type": "array"
      +  },
      +  {
      +    "type": "null"
      +  }
      +]
    • changedInput schema / properties / probes / description
      Previous value: -"Explicit probe objects: {prompt, platform, model?, language?, country?, target_entity?}. Set model to pin the AI model for that probe: a catalog model id, or the keywords latest / prior / default (resolved to the platform's current model for that role). Omit model for the platform default. Use probes when prompts, models, or locales differ per platform."New value: +"Explicit probe list. Use when prompts, models, or locales differ per platform; otherwise use prompts x platforms, optionally with the models map."
  7. Changed1 schema field changed
    • changedInput schema / properties / probes / description
      Previous value: -"Advanced explicit prompt and platform objects. Use only when prompts need per-platform control."New value: +"Explicit probe objects: {prompt, platform, model?, language?, country?, target_entity?}. Set model to pin the AI model for that probe: a catalog model id, or the keywords latest / prior / default (resolved to the platform's current model for that role). Omit model for the platform default. Use probes when prompts, models, or locales differ per platform."
  8. Changed9 schema fields changed
    • addedInput schema / properties / competitors / description
      Added value: +"Optional competing brands or entities to track alongside the target."
    • addedInput schema / properties / country / description
      Added value: +"Market context for analysis. Use ISO country codes such as US, NL, or DE."
    • addedInput schema / properties / idempotency_key / description
      Added value: +"Optional stable key for retries. Reusing it helps avoid duplicate queued runs."
    • addedInput schema / properties / language / description
      Added value: +"Language for analysis and generated text. Use ISO language codes such as en, nl, or de."
    • addedInput schema / properties / platforms / description
      Added value: +"AI platforms to query. Use perplexity, openai or ChatGPT, grok or xAI, and gemini."
    • addedInput schema / properties / probes / description
      Added value: +"Advanced explicit prompt and platform objects. Use only when prompts need per-platform control."
    • addedInput schema / properties / prompts / description
      Added value: +"Questions to ask across selected AI platforms."
    • addedInput schema / properties / target_entity / description
      Added value: +"Brand, product, person, or organization to track in AI answers."
    • addedInput schema / properties / url / description
      Added value: +"Public page URL to analyze."
  9. First observed

TDQS

A4.8/5.0
Behavior5/5

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

Annotations establish it as a non-read-only, open-world, non-idempotent operation, and the description layers on real behavioral context the annotations cannot convey: it starts queued work and returns immediately with a run_id, requires polling for terminal state, reserves credits, and returns credit fields. It also warns about duplicate-run creation, which matters given idempotentHint=false.

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?

Front-loaded with the action and the primary usage condition, then the async follow-up. It is somewhat long and the closing sentences about per-probe pricing and 'results record the exact model' partially repeat the schema's own model/credits text, so a little trimming is possible.

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 an output schema present, return values need not be explained, yet the description still notes that credit fields appear when credits are reserved. For a 10-parameter, open-world creation tool, everything an agent needs to call it correctly (mode selection, platform labels, model semantics, async lifecycle) is covered.

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 description coverage is 100%, so the baseline is 3, but the description adds cross-parameter semantics the schema cannot: the matrix (models map) vs per-probe pinning distinction, that 'openai/ChatGPT' and 'grok/xAI' are interchangeable labels, and that keyword values resolve to individually priced models. It stops short of resolving the interaction between the idempotency_key and idempotentHint=false.

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 ('Queue a saved AI Visibility run') plus the two input modes ('prompts x platforms or explicit probes'). An agent can distinguish it from create_sleepwalker_content_run and suggest_sleepwalker_visibility_prompts without opening any schema.

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?

Explicitly scopes usage: 'Use this when the user wants reportable probe results, not just prompt ideas,' which routes away from the prompt-suggestion sibling. It also states the correct follow-up behavior ('poll get_sleepwalker_visibility_run_status until the run is terminal instead of creating duplicate runs') and when to prefer probes over prompts x platforms.

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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