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l0g.fr Risk Intelligence

Build Research Pack

build_research_pack
Read-onlyIdempotent

Compose en un appel un paquet de recherche déterministe : documents classés, claims canoniques, sources primaires, liens claim -> preuve, fraîcheur, Risk Diff, éléments adverses, limites et URLs citables. Ne produit aucune opinion d’investissement.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asOfNoDate point-in-time optionnelle au format YYYY-MM-DD.
limitNoNombre maximum de documents.
queryYesQuestion ou thème de recherche.
languageYesLangue des documents recherchés : fr ou en.
riskWindowNoFenêtre Risk Diff.7d

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
asOfNo
errorNo
queryNo
claimsNo
versionNo
languageNo
riskDiffNo
documentsNo
freshnessNo
parametersNo
citationUrlsNo
claimEvidenceNo
primarySourcesNo
knownLimitationsNo
adversarialFindingsNo

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior. The description adds valuable context beyond those annotations: the output is deterministic, and the tool explicitly 'Ne produit aucune opinion d’investissement.' This helps an agent understand behavioral constraints that annotations do not capture.

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 a single dense sentence that front-loads the action and resource, then efficiently lists the pack's contents. There is no fluff or repetition of schema details, and every element contributes to understanding what the tool produces.

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?

Given the presence of an output schema, rich annotations, and full schema coverage for parameters, the description is reasonably complete. It clarifies the deterministic nature, the non-opinion boundary, and the core contents of the research pack. It could be stronger with explicit usage alternatives, but nothing essential is missing for invoking the tool correctly.

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 parameter meaning is already fully documented in the schema. The description adds no extra parameter syntax, defaults, or format details beyond what the schema provides, which aligns with the baseline 3 for high schema coverage.

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 uses a specific verb ('Compose') and resource ('paquet de recherche déterministe'), and enumerates what the pack contains. It clearly conveys what the tool does and is distinguishable from the many get_* and search_* siblings, though it does not explicitly name a sibling it is not.

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

Usage Guidelines3/5

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

The phrase 'en un appel' implies this tool bundles what sibling tools like get_claims, get_freshness, and get_risk_diff would otherwise provide separately. However, it does not explicitly state when to prefer this tool over alternatives or when not to use it, so usage guidance remains implied rather than explicit.

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.