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l0g.fr Risk Intelligence

Get Risk Diff

get_risk_diff
Read-onlyIdempotent

Renvoie le Risk Diff l0g : ce qui a changé dans le risque depuis 1, 7 ou 30 jours. Inclut signaux, sources fraîches ou stale, claims, modèles, articles reliés et niveau de confiance.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
windowNoFenêtre optionnelle : 1d, 7d ou 30d.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
errorNo
filtersNo
versionNo
windowsNo
freshnessNo
generatedNo
anchorDateNo
limitationsNo
selectedWindowNo

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already mark it read-only, idempotent, and non-destructive, and the description is consistent with these. It adds useful context by specifying that the log includes signals, fresh/stale sources, claims, models, related articles, and confidence level, going beyond a generic 'returns data' statement.

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?

Two concise sentences with no fluff: the resource and scope are front-loaded, followed by a compact content list. Every clause earns its place.

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?

The tool has a single optional enum parameter and an output schema, so the description does not need to explain return values. It covers what the log contains and the supported windows, making it complete enough for correct 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%: the single optional window parameter is already documented with its enum values and meaning. The description reinforces '1, 7 or 30 days' but does not add new semantic detail beyond what the schema provides, so 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?

The description uses a specific verb ('Renvoie') and names a distinct resource, the 'Risk Diff l0g', with a clear scope: changes in risk over 1, 7, or 30 days. It also enumerates contents such as signals, sources, claims, models, articles, and confidence, distinguishing it from siblings like get_changes or get_freshness.

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 temporal windows and 'ce qui a changé dans le risque' give a clear implied use case for historical risk-diff checks. However, it does not explicitly say when to prefer this over closely related siblings such as get_changefeed, get_changes, or get_risk_indices, nor does it state 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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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.