Get listing
get_listingFetch one published GreenGo Partners listing by slug. Returns only public fields; unknown or unpublished slugs return an error.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | The listing slug, e.g. hairmatch-ai. |
get_listingFetch one published GreenGo Partners listing by slug. Returns only public fields; unknown or unpublished slugs return an error.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | The listing slug, e.g. hairmatch-ai. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, and closed-world. The description adds real value beyond them: the data-visibility scope ('only public fields') and the failure mode for unknown or unpublished slugs.
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 tight sentences with no filler; the core action and its scope are front-loaded before the return/error note.
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 single-param read with no output schema, the description covers outcome scope and error behavior adequately. Minor gap: no mention of what fields constitute 'public fields' or rate/lookup caveats, but not essential for correct invocation.
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 coverage is 100% and the param is documented with a format pattern and example. The description adds only 'by slug', which the schema already conveys, so baseline 3 is appropriate.
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 (fetch) and resource (one published GreenGo Partners listing) with the key qualifier 'published'. It implicitly separates itself from search_listings by emphasizing a single listing, though it doesn't explicitly name the sibling.
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?
Provides useful context that only public fields are returned and that unknown/unpublished slugs error, which implies usage conditions. However, it never explicitly says when to use this versus search_listings for discovery.
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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