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l0g.fr Risk Intelligence

Search Content

search_content
Read-onlyIdempotent

Recherche plein texte locale dans l0g.fr : analyses, guides, glossaire, fiches méthodologiques et sources primaires. Par défaut, le serveur utilise l'index bilingue canonique partagé avec l'Agent Surface et WebMCP, sans fournisseur externe. Le mode catalog conserve l'ancien scoring léger sur titre, tags, topics et description.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNofulltext pour le corps des pages, catalog pour le scoring catalogue historique.fulltext
limitNoNombre maximum de résultats.
queryYesTermes de recherche.
languageNoLangue optionnelle : fr ou en. Sans filtre, recherche bilingue.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNo
countNo
errorNo
queryNo
backendNo
resultsNo
coverageNo
languageNo

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and idempotentHint, so the safety profile is covered. The description adds useful behavior beyond that: the index is bilingual by default, shared with Agent Surface and WebMCP, has no external provider, and catalog mode uses legacy scoring on title, tags, topics, and description. This gives the agent meaningful execution context without contradicting annotations.

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 two sentences with no filler. The first sentence front-loads the tool's purpose and scope, and the second sentence explains default behavior and the mode distinction. Every clause contributes useful information.

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 search tool with four documented parameters, an output schema, and safety annotations, the description covers the essential context: what is searched, over which content, how the default index behaves, and what catalog mode changes. It is not fully complete only because it does not position the tool against its closest siblings.

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

Parameters4/5

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

Schema coverage is 100%, so the baseline is 3. The description adds extra meaning by explaining that the default index is the bilingual canonical one and that catalog mode preserves legacy scoring on title, tags, topics, and description. This enriches the mode and language parameters beyond their schema descriptions.

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 states a specific verb and resource: full-text local search over l0g.fr content types (analyses, guides, glossary, methodological sheets, primary sources). It clearly separates fulltext and catalog behavior, but it does not explicitly distinguish itself from sibling tools such as search_by_topic or list_recent_analyses, so it falls just short of full differentiation.

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 provides clear context: use it for local full-text search across l0g.fr, with a bilingual canonical index by default and an optional legacy catalog scoring mode. It does not explicitly say when to prefer search_by_topic or another sibling over this tool, so it lacks explicit exclusions and alternatives.

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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TDQS

A3.9/5.0
Disambiguation4/5

Most tools target clearly distinct resources (articles, claims, sources, indices, signal history, integrity), and the descriptions are detailed. The two real ambiguities are get_changefeed vs get_changes, which are near-identical except for filtering, and the Agent Surface metadata cluster (manifest, openapi, integrity, verify, ndjson feed) where an agent could misselect. These are minor enough not to undermine the set.

Naming Consistency5/5

All 21 tools follow a consistent verb-first snake_case pattern with clear semantic verbs: get_ for retrieval, list_ for enumeration, search_ for querying, plus build_research_pack and verify_artifact as lone but clearly communicative composites. There is no mixing of conventions or vague verbs like process or run, making tool selection predictable.

Tool Count4/5

21 tools is above the ideal 3-15 range, but the server covers a broad domain: content retrieval, claims and evidence graphs, risk signals, change monitoring, and integrity verification. A few tools could be consolidated (the changefeed pair and the metadata cluster), but none is pure filler, so the count feels justified though slightly heavy.

Completeness4/5

For a read-only intelligence platform, the coverage is comprehensive: content listing and full-text retrieval, claims and evidence graphs, source auditing, risk indices with history, freshness and risk-diff monitoring, and artifact verification. Minor gaps include no per-source detail endpoint and no push or subscription mechanism, but agents can work around these using list_sources and the changefeed.