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

With no annotations, the description carries the full behavioral burden and does so well: EUR-only with no conversion, employees as financial-year average, the 'later figures repeat the latest year unless assume_latest_figures_continue is false' rule, questions_for_counsel escalation, and no network access. It stops short of describing error handling or the full response shape, so 4 rather than 5.

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

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

It is front-loaded with the purpose, which is good, but the remainder is a single dense paragraph stuffed with statutory citations and parentheticals that are not needed for tool selection. Every element is arguably relevant to a legal-audit tool, but the lack of structure hurts readability.

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

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

For a 16-parameter legal tool with no output schema, the description compensates by enumerating the return fields (in_scope, first_reporting_financial_year, per-year results, rules applied with citations, questions_for_counsel, facts_needed, legal_basis_version). It is close to complete, missing only a fuller description of edge-case outputs.

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

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

Schema description coverage is 75%, so the schema already explains most inputs (entity_type, member_state, financial_years, etc.). The description only restates a couple of those semantics (EUR-only, average employees) and adds no syntax or format detail beyond the schema, so the baseline of 3 applies.

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

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

The description states a precise verb+resource: it applies CSRD EU-directive scope rules to given facts and reports, per financial year, whether the rules reach the undertaking. It names the governing directives and even points to a sibling (call sources with member_state), so an agent can tell what it does and where to go for the legal-form list.

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

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

It conveys scope boundaries (EU-directive level only, not legal advice, no network access) and a default behavior for repeated figures, but gives no explicit when-to-use vs the siblings timeline, thresholds, or sources. Usage is implied rather than directed.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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

With no annotations, the description carries the full burden and mostly succeeds: it lists exactly what data is returned (acts, CELEX, amendments since 2024, date checked, licence, attribution) and adds a critical caveat that member-state measures are 'not proof of complete transposition.' It stops short of stating explicitly that this is a side-effect-free read, which would be the final behavioral detail.

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

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

The description is compact and front-loads the default output before the conditional member_state behavior. The colon-separated lists are dense but each item is meaningful; no wasted sentences.

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

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

For a one-parameter lookup with no output schema and no annotations, the description supplies the essential return content for both default and member_state cases, plus a scope limit (since 2024) and caveat. It is nearly complete, missing only an explicit statement of the operation's read-only nature.

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

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

Schema coverage is 100%, but the description adds real semantic value beyond the schema's 'Two-letter code' by explaining what providing member_state changes: it returns national notification measures and their legal forms in Annexes I and II, with a caveat about completeness.

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

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

The description states the resource clearly: it returns the legal basis (acts, CELEX numbers, consolidated versions, amendments, etc.) and, with member_state, national measures. No verb is present, but an agent can infer a retrieval operation. It does not mention any sibling tool, so it loses the differentiation point.

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

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

There is no guidance on when to use this tool versus timeline, csrd_scope, or thresholds. The only conditional described is parameter behavior (with member_state), not tool-selection context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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

With no annotations, the description carries the full behavioral burden, and it does so reasonably: it discloses the exact shape of the returned payload (amounts, counts, years, article citations, quoted provisions, exclusions) and confirms the tool takes no input. It does not state whether the data is a static snapshot, its effective date, or jurisdiction coverage, which are the remaining gaps.

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

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

A single dense sentence with no filler, and the resource (CSRD thresholds) is front-loaded before the enumerated contents. It is slightly long, but each clause adds verifiable content rather than restating the tool name.

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

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

For a no-parameter reference tool with no output schema, the description supplies what an agent needs to know what comes back, which is the main risk here. It stops short of noting data vintage or scope of coverage, a minor but real gap for a regulatory reference.

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

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

There are zero parameters and the schema is a bare object with additionalProperties false, so there is nothing to document. The description correctly reinforces this with 'No input.', matching the schema rather than contradicting it.

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

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

The description names a specific resource (CSRD scope thresholds in force) and enumerates its contents (EUR amounts, employee counts, applicable financial years, articles, quoted provisions, exclusions). It clearly tells an agent this is reference data, but it does not explicitly contrast itself with the sibling csrd_scope, so an agent must infer the split.

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

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

The closing 'No input.' conveys that this is a parameterless lookup, which implies usage as a reference fetch. However, it gives no guidance on when to prefer this over csrd_scope (raw thresholds vs. scope determination) or timeline/sources, leaving the routing decision to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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

No annotations are provided, so the description carries full behavioral burden. It usefully discloses that the tool takes no input and returns citations, implying a static read-only lookup with no side effects. Beyond that, it says nothing about return format or how comprehensive the response is.

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

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

Single dense sentence that front-loads the covered topics (financial years, directive changes, transposition deadlines) before the details. Effective, though the parenthetical lists make it slightly heavy for a no-arg lookup.

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

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

For a zero-parameter informational tool with no output schema, the description enumerates the covered content areas (2024-2026 set, Member State option, FY2027 thresholds, FY2028 third-country rules, directives, deadlines), which is sufficient for an agent to know what it will receive.

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

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

The tool takes zero parameters, so there are no parameter semantics to explain; baseline 4 applies. 'No input' correctly confirms the empty schema.

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

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

The description states a specific resource: the CSRD reporting timeline covering which entities report for which financial years, how the dates changed via named directives, and transposition deadlines. It is reasonably distinguishable from siblings (sources, csrd_scope, thresholds) by centering on the date dimension. The vague name 'timeline' alone would not convey this, but the description carries the meaning.

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

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

Usage is only implied: an agent infers it should call this when it needs reporting-timeline/date information. There is no explicit when-to-use vs alternatives guidance and no exclusion telling the agent to use 'thresholds' or 'csrd_scope' instead for those specific concerns, despite topical overlap (FY2027 thresholds, citations).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.