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SaaSCity

Search SaaSCity listings

search_listings
Read-onlyIdempotent

Search products listed on SaaSCity by keyword and/or category. Returns title, tagline, category, upvote points, the listing page and the product site. Useful for market research ("what else exists in this space?") before a launch.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNopoints = most upvoted firstpoints
limitNoResults per page
queryNoKeyword matched against title and tagline
offsetNoSkip this many results (pagination)
categoryNoListing category id

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
offsetYes
listingsYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and idempotentHint=true, so the safety profile is covered. The description adds the search criteria and return fields, but does not disclose additional behavioral details such as pagination behavior or any operational limits. This is adequate but not rich beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is compact and front-loaded with the core action, followed by return value hints and a use case. It is not bloated, though the enumeration of returned fields is somewhat redundant given the output schema exists. Still, each sentence contributes meaningfully.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only search tool with full parameter documentation, an output schema, and safety annotations, the description supplies enough context to understand what the tool does and when it is useful. It does not explicitly address all sibling overlaps, but that is not necessary for basic invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema fully documents all five parameters, including enums, defaults, and constraints. The description's mention of 'keyword and/or category' maps to query and category, but adds little beyond what the schema already provides. The baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly identifies a specific verb ('Search'), a resource ('products listed on SaaSCity'), and the main filter dimensions ('keyword and/or category'). It is understandable on its own, but it does not explicitly differentiate itself from sibling tools like get_listing or find_alternatives, so it stops 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.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives a concrete use case: market research ('what else exists in this space?') before a launch. That provides clear contextual guidance, though it does not state when not to use this tool or name an alternative, so it lacks explicit exclusions.

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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