Suggest AI visibility prompts
suggest_ai_visibility_promptsAsk AI for prompts worth tracking for the website. Nothing is tracked until you create them.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| siteId | Yes | ||
| projectId | Yes | ||
| description | No |
suggest_ai_visibility_promptsAsk AI for prompts worth tracking for the website. Nothing is tracked until you create them.
| Name | Required | Description | Default |
|---|---|---|---|
| siteId | Yes | ||
| projectId | Yes | ||
| description | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations only give readOnlyHint=false, openWorldHint=false, destructiveHint=false; the description adds the genuinely useful behavioral fact that suggestions are ephemeral and nothing is persisted until creation. It omits any auth, cost, or latency context for what is evidently an LLM-backed call, keeping it from a 5.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two short sentences, purpose first and the persistence caveat second; no filler. The phrasing 'Ask AI for prompts' is slightly informal/imprecise about what is actually returned, but the structure is sound.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no output schema and 0% schema description coverage, the description carries the full burden yet never explains what a suggestion looks like, how many come back, or what the parameters mean. An agent can tell what the tool is for but not enough to call it confidently with correct arguments.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0% across siteId, projectId, and the optional description parameter. The description only loosely gestures at site scoping ('for the website') and says nothing about what the description parameter does or the site/project identification requirements.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb+resource: it asks an AI to produce prompt suggestions for the site's tracking, which is distinguishable from the create/bulk_create/list siblings by the 'suggest' framing. It doesn't explicitly name those alternatives, so it falls short of a 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The clause 'Nothing is tracked until you create them' implies the follow-up step (create/bulk_create), but the description never states when to use this tool versus create_ai_visibility_prompt or list_ai_visibility_prompts. Usage is only implied, not spelled out.
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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