get_listing
Get one published voice AI vendor by its slug.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | The listing slug. |
Get one published voice AI vendor by its slug.
| Name | Required | Description | Default |
|---|---|---|---|
| slug | Yes | The listing slug. |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnly, idempotent, non-destructive, closed-world behavior, so the safety profile is covered structurally. The description adds one genuinely new behavioral fact: only *published* vendors are returned, implying unpublished slugs are not resolvable. It does not say what happens on a miss (error vs empty).
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?
A single tight sentence with the resource and the lookup key front-loaded; there is no filler to remove.
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 one-parameter read tool with complete annotations and no output schema, the description covers purpose, key, and the published-only constraint. The only real gap is not-found/error behavior, which is a minor omission at this complexity.
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 100% and the single slug parameter is fully specified with a pattern and length bounds, so the schema carries the semantics. The description adds nothing beyond 'slug' as the key, which is the baseline case.
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?
Specific verb ('Get') plus a precisely scoped resource ('one published voice AI vendor') with the lookup key named ('by its slug'). It is distinguishable from search_listings and the list_* siblings, though it never names them directly.
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 phrase 'by its slug' implies the precondition that the agent already has an exact slug, which nudges toward search_listings when it doesn't. However, no alternative is named and there is no explicit when-not guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.