Describe one service
datailo_describeThe full product card for one service: tagline, datasets, workflows, tiers, docs.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| service | Yes |
datailo_describeThe full product card for one service: tagline, datasets, workflows, tiers, docs.
| Name | Required | Description | Default |
|---|---|---|---|
| service | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds what the response contains but does not go beyond that into behavioral details like error conditions or open-world variability. No contradiction exists.
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?
The description is a single, tightly written sentence that leads with the core purpose and then lists the contents of the product card. Every word contributes value, with no redundancy or filler.
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?
For a simple read-only, one-parameter tool, the description is mostly adequate and usefully lists the output components despite the lack of an output schema. However, the missing semantics for the service argument and the absence of any usage guidance leave a notable gap that an agent must handle by inference.
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?
The only parameter, service, has no schema description and the description provides 0% coverage, yet it is required and lacks format guidance. There is no indication whether service expects a name, slug, ID, or some other identifier. The word 'service' in the description is the only hint, which is insufficient.
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?
The description clearly identifies the tool as returning a full product card for a single service, enumerating its contents: tagline, datasets, workflows, tiers, and docs. This distinguishes it from broader listing tools like datailo_catalog, even though the verb is implicit in the title. It is specific about resource and scope.
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 description implies usage for retrieving detailed information about one service, but it does not explicitly state when to choose this over siblings such as datailo_catalog or datailo_workflows. There is clear context for the single-service case but no exclusions or alternative routing.
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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