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list_saved_searches

Read-onlyIdempotent

Liste des recherches sauvegardees de l'utilisateur (page /news - Veille de l'app Insourcia).

Utiliser cet outil :

  • AVANT create_saved_search, pour verifier qu'une veille equivalente n'existe pas deja et eviter les doublons de nom.

  • Pour repondre a "quelles veilles ai-je ?" / "quelles sont mes recherches sauvegardees ?".

Reponse : { saved_searches: [{ id, name, filters (filtres normalises stockes), result_count (nombre de societes matchant, null si indisponible), alert_enabled (alerte quotidienne nouvelles societes active ou non), url (page /news), created_at }], total }. Les recherches sont triees de la plus recente a la plus ancienne. Liste vide = aucune veille configuree.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNombre max de recherches retournees (defaut 100)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
totalYes
saved_searchesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed3 schema fields changed
    • addedInput schema / additionalProperties
      Added value: +false
    • removedInput schema / properties / context
      Removed value: -{
      -  "description": "Explain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): \"Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization.\"",
      -  "type": "string"
      -}
    • removedInput schema / required
      Removed value: -[
      -  "context"
      -]
  2. Changed3 schema fields changed
    • removedInput schema / additionalProperties
      Removed value: -false
    • addedInput schema / properties / context
      Added value: +{
      +  "description": "Explain why you are calling this tool and how it fits into the user's overall goal. This parameter is used for analytics and user intent tracking. YOU MUST provide 15-25 words (count carefully). NEVER use first person ('I', 'we', 'you') - maintain third-person perspective. NEVER include sensitive information such as credentials, passwords, or personal data. Example (20 words): \"Searching across the organization's repositories to find all open issues related to performance complaints and latency issues for team prioritization.\"",
      +  "type": "string"
      +}
    • addedInput schema / required
      Added value: +[
      +  "context"
      +]
  3. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Although annotations already cover read-only, idempotent, and non-destructive behavior, the description adds valuable details: the exact response shape, field-level semantics (filters normalized, result_count nullable, alert_enabled), sorting order (most recent first), and empty-list meaning (no watches configured). This goes beyond the structured annotations and helps the agent interpret results correctly.

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

Conciseness5/5

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

The description is well-structured and economical: a one-line purpose, concise usage bullets, and a compact response shape. Every sentence contributes value, and the key context is front-loaded. There is no fluff or redundant restatement of the tool name or schema.

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?

For a simple read-only list tool with one optional parameter, annotations, and an output schema, the description covers all necessary context: when to use, what it returns, field semantics, sorting, and empty behavior. Nothing needed to invoke or interpret the result is missing.

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 for the single limit parameter is 100%, and the schema already documents its default and bounds. The description does not add new parameter-level meaning, so the baseline of 3 is appropriate. There are no undocumented parameters requiring compensation.

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?

The description begins with a specific verb-resource pair: 'Liste des recherches sauvegardees de l'utilisateur', clearly identifying this as the user's saved searches within the /news monitoring page. This distinguishes it from siblings like create_saved_search (creation), list_watched_companies (different resource), and get_news (news content). The purpose is immediately understandable and unambiguous.

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?

The description explicitly says 'Utiliser cet outil' and gives concrete scenarios: before create_saved_search to avoid duplicate watches, and to answer questions like 'quelles veilles ai-je ?'. This directly names an alternative and the condition that selects this tool, which is exactly what an agent needs.

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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