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semantic_search

Read-only

Semantic (meaning-based) search over Teppek's live listings, backed by a multilingual embedding index. Use it when the user describes what they want in natural language rather than exact keywords — e.g. "outdoor jobs that don't need a degree", "affordable family cars that are good in snow", "a cosy studio close to the university". Returns the closest-matching ACTIVE listings ranked by semantic similarity (each item carries a score). Complements search_listings: prefer search_listings for precise keyword/role/country/category/price filtering and exact counts; prefer semantic_search when meaning, synonyms, or fuzzy intent matter more than literal terms. Optional vertical narrows to career/real_estate/vehicle/service.

Input Schema

NameRequiredDescriptionDefault
limitNoMaximum results to return, 1-20. Default 20. Example: 10.
queryYesNatural-language description of what the user wants (e.g. "quiet night-shift jobs that do not need a degree", "cosy family flat near a park"). Matched by MEANING against the listing text, not exact keywords.
verticalNoOptional vertical filter (career | real_estate | vehicle | service) applied server-side to the active listings before they are returned.

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / additionalProperties
      Added value: +false
  2. Changed1 schema field changed
    • addedInput schema / properties / limit / description
      Added value: +"Maximum results to return, 1-20. Default 20. Example: 10."
  3. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
      +  "$schema": "http://json-schema.org/draft-07/schema#",
      +  "additionalProperties": {},
      +  "properties": {},
      +  "type": "object"
      +}
  4. Added

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, so the safety profile is covered; the description adds real value beyond that by disclosing that only ACTIVE listings are returned, that results are ranked by semantic similarity, and that each item carries a `score`. It does not cover error/latency behavior or what happens on zero matches, so it stops short of a 5.

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?

Purpose and mechanism are front-loaded, and the sibling-comparison sentence earns its length. The three illustrative query examples are somewhat redundant with the examples already in the `query` schema field, so a little trimming is possible.

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

Completeness5/5

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

With an output schema present the description needn't explain return values, and it still flags the `score` field and the ACTIVE-only filter. Purpose, routing, mechanism, and the one meaningful filter (vertical) are all covered for a simple 3-parameter read tool.

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 all three parameters are already documented in the schema, including the vertical enum. The description restates the vertical options and reinforces that `query` is matched by meaning, but adds no syntax or format detail beyond the schema — baseline 3 is appropriate.

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

Purpose5/5

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

States a specific verb and resource ('semantic search over Teppek's live listings') plus the mechanism (multilingual embedding index). It explicitly contrasts itself with the sibling search_listings, so an agent can pick the right tool without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

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

Gives concrete when-to-use examples in natural language and an explicit routing rule: prefer search_listings for precise keyword/role/country/category/price filtering and exact counts, prefer semantic_search when meaning, synonyms, or fuzzy intent matter more than literal terms.

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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