Suggestions
suggestionsSuggests improvements for this partner's homes, such as a home with no photos or rent far above the local median for the same city and bedrooms.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
suggestionsSuggests improvements for this partner's homes, such as a home with no photos or rent far above the local median for the same city and bedrooms.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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, and closed-world, so the safety profile is covered. The description usefully adds that the analysis is scoped to the calling partner's own inventory and that results are listing-quality heuristics, but says nothing about scope of evaluation, latency, or what the response contains.
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 front-loaded sentence with the core action first and examples second, and no filler. It is slightly long as a run-on, but every clause adds information about what kind of suggestions to expect.
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 zero-parameter read-only tool the description is nearly sufficient, but with no output schema the description is the only source for the return shape, and it offers only two illustrative examples rather than the categories, structured fields, or volume of suggestions returned.
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 tool takes zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. No argument semantics are needed or expected.
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 and resource: it 'suggests improvements' for 'this partner's homes,' and the examples (missing photos, rent far above local median) make the nature of the output concrete. It is distinguishable from search/listing siblings, though it never names a sibling or scope boundary explicitly.
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?
There is no guidance on when to call this versus alternatives like listing_performance or my_listings, nor any prerequisite or trigger condition. The agent must infer from the name alone whether this is a diagnostic tool it should reach for.
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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