reporting

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

No annotations provided, so description carries full burden. Only notes auto-filling from AmpelOracle. Does not disclose whether operation is read-only or modifies state, required permissions, error behavior, or output format.

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?

Very brief (two sentences, 15 words), but under-specified. Conciseness is sacrificed for completeness; every word earns its place, but the description is too sparse to be useful.

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 tool generating a regulatory report with 2 parameters, no output schema, and no annotations, the description fails to provide enough context. Missing details about report content, entity_id meaning, year constraints, and compliance implications.

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 0% and description does not explain either parameter (year, entity_id). No guidance on valid values or formats, leaving the agent to guess.

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?

Description identifies the tool as an annual ICT risk management report for specific stakeholders (board and NCA), referencing a regulation. However, it lacks a clear verb (e.g., 'generates', 'retrieves'), relying on a noun phrase. It partially distinguishes from siblings like get_report by specifying audience and regulatory context.

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?

Implies use for annual compliance reporting via mentions of 'board + NCA' and 'auto-fills from AmpelOracle', but no explicit when-to-use or when-not-to-use guidance. No alternatives or exclusions mentioned.

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 provided, so description carries full burden. It discloses the status change from draft to approved and the need for a second approver. However, it omits details on idempotency, permissions, error cases, or side effects. Adequate but not comprehensive.

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, front-loaded sentence conveys the core action, resource, and outcome with zero redundancy. Every word serves a purpose.

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?

Given the mutation nature (status change), no output schema, and 3 undocumented parameters, the description lacks critical context such as prerequisites, error conditions, return values, and detailed parameter roles. More information is needed for reliable invocation.

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?

Input schema has 3 parameters with 0% description coverage. The description only implicitly explains 'approved_by' (the approver) via '4-eyes' but does not clarify 'entity_id' or 'report_id'. With no schema descriptions, the description should add meaning but fails to do so.

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?

Description clearly states verb 'approve', resource 'draft report', and state transition 'draft → approved'. The mention of '4-eyes' distinguishes it from other report tools by implying a multi-approval process.

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 description implies usage for draft reports needing approval (via status transition) and suggests a second person is required ('4-eyes'). However, it does not explicitly state when to use it versus alternatives like get_report or management_letter, nor does it mention prerequisites or exclusions.

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 full burden. It indicates the output includes deadlines and a countdown, implying read-only behavior, but does not clarify data freshness, permissions, or any side effects. Adequate but minimal for a simple tool.

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 a single, front-loaded sentence that conveys the core functionality without any extraneous words. It is as concise as possible while still being informative.

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?

Given the low complexity (1 optional parameter, no annotations, no output schema), the description covers the basic purpose and output expectations (countdown). It lacks explicit instructions on when to use, but is sufficient for a simple lookup tool.

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% and the schema already documents the entity_id parameter as optional with 'empty for general deadlines'. The description adds value by mentioning 'with days-until countdown', which hints at the return format beyond the 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 clearly states the tool lists DORA reporting deadlines per entity with a countdown. It distinguishes itself from sibling tools like annual_report or get_report, though it lacks an explicit verb (e.g., 'list' or 'retrieve').

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?

No guidance is provided on when to use this tool versus alternatives. For example, it does not mention that this is a read-only operation or that it should be used for deadline queries, not for submitting reports.

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?

Without annotations, the description carries the full burden. It implies a read operation but does not disclose behavior for invalid IDs, output format, or side effects. Minimal transparency.

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?

One sentence is concise but at the cost of crucial information. Front-loads the verb and resource but lacks context.

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?

Given two required parameters, no output schema, no annotations, and many report-related siblings, the description is severely inadequate. It fails to explain 'entity_id', output, or distinctions.

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 0%, so the description must compensate. It only mentions 'report_id' and completely ignores 'entity_id', which is also required. This omission is misleading.

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 uses a specific verb 'Get' and resource 'full report content', with retrieval by 'report_id'. It is clear in its basic function but does not differentiate from sibling tools like 'annual_report' or 'incident_report'.

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?

No guidance on when to use this tool versus alternatives. The only implied usage is having a report_id, but no prerequisites or exclusions are stated.

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 bears full responsibility. It only states 'Server status' without disclosing whether it is read-only, what actions it performs, or any side effects. The agent is left to assume it is safe but has no explicit confirmation.

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 extremely concise (two words). It is front-loaded, but so minimal that it borders on under-specification. Every word earns its place, but could include more detail without becoming verbose.

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?

Given no parameters and no output schema, the description is simple. However, for a health check, it lacks detail on what the response contains (e.g., uptime, version). This leaves the agent uncertain about the tool's return value format.

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?

Input schema is empty (0 parameters), so no parameter documentation is needed. The description adds nothing about parameters, but given 100% schema coverage, the baseline score of 4 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 'Server status' clearly indicates the tool checks server health. It is specific (verb: check? implied, resource: server status) but does not differentiate from sibling 'ping', which likely also checks connectivity.

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?

No guidance on when to use this tool versus alternatives like 'ping' or other report tools. The description does not mention when a health check is appropriate or what distinguishes it.

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, and the description does not disclose behavioral traits such as side effects (e.g., record creation), authentication requirements, or rate limits. It only states the action without any transparency.

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 extremely concise at one sentence, front-loading key info (regulation, deadlines, types). However, it sacrifices completeness for brevity, missing important details.

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 tool with 12 parameters, no output schema, and no annotations, the description is insufficient. It covers the report's purpose and deadlines but fails to guide usage for most fields, leaving significant gaps.

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?

With only 17% schema coverage, the description adds minimal parameter info: it clarifies report_type values (initial, intermediate, final). The other 10 parameters remain undocumented, leaving the agent to infer their meaning from names alone.

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 explicitly states the tool generates an ITS 2024/1772 incident report for BaFin with specific types (initial, intermediate, final) and deadlines, clearly distinguishing it from sibling tools like annual_report or get_report.

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 description implies usage for regulatory incident reporting with deadlines, but does not explicitly state when to use this tool versus alternatives or provide exclusions.

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 exist, so the description carries full burden. It implies a read-only monitoring operation but does not disclose side effects (none expected), permissions, rate limits, or what happens when entity_id is missing. The behavioral context is minimal beyond basic purpose.

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 a single sentence with no wasted words. It front-loads the core functionality. However, it could be expanded slightly without harming conciseness, e.g., clarifying parameter usage.

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 tool with one parameter and no output schema, the description omits critical details: return format, whether results are paginated, how to interpret 'overdue status', and integration with sibling tools like deadline_tracker. It fails to give an agent self-contained understanding.

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 input schema has one parameter (entity_id) with 0% description coverage. The description does not clarify what entity_id represents (e.g., type, format, whether required). It adds no semantic meaning beyond the schema's bare structure.

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 tool tracks incident reports per entity with deadlines and overdue status, using a clear verb-resource pair. It distinguishes from siblings like incident_report (which likely focuses on individual reports) by emphasizing tracking/monitoring. However, 'track' is somewhat vague and could be more specific like 'list' or 'get status'.

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?

No guidance is provided on when to use this tool versus alternatives. There is no mention of prerequisites, when not to use, or related tools like deadline_tracker that might be more appropriate for deadline-specific queries.

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 the full burden of disclosing behavioral traits. It mentions '4-eyes principle', which implies a required approval step, but does not elaborate on destructive actions, required permissions, rate limits, or side effects. The description is insufficient for an agent to understand the tool's full impact.

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 extremely concise at 6 words, with no wasted text. It is front-loaded with the purpose. However, it may be overly terse, missing structural elements like a clear sentence separation or bullet points. Still, it is efficient and to the point.

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?

Given the tool has 2 parameters and no output schema or annotations, the description should provide more context. It lacks information about return values, prerequisites (e.g., validating findings), and an explanation of the '4-eyes principle'. The description is incomplete for an agent to use the tool correctly without additional knowledge.

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 50% (only finding_ids has a description). The description does not add meaning to either parameter: 'entity_id' remains undocumented, and 'finding_ids' is already described in the schema. The description adds no value beyond the schema, failing to compensate for the low coverage.

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 clearly states the tool's purpose: 'Generate management response letter to findings.' The verb 'Generate' and resource 'management response letter' are specific. The tool is distinct from sibling tools like annual_report or incident_report, which produce different types of reports. The addition of '4-eyes principle' hints at an approval process, further clarifying the context.

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 description provides no explicit guidance on when to use this tool versus alternatives like annual_report or approve_report. There is no mention of prerequisites, conditions, or exclusions. The '4-eyes principle' is ambiguous and does not clarify usage 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?

Without annotations, the description carries the full burden but only says 'track' without disclosing whether it's read-only, what permissions are needed, or any side effects. It lacks behavioral context.

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 single sentence is concise and front-loaded with the core purpose, though it could benefit from additional structure like listing parameters.

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?

Given no annotations, no output schema, and an undocumented required parameter, the description fails to provide sufficient context for an agent to use the tool correctly.

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 0% and the description does not elaborate on the 'entity_id' parameter, leaving its purpose, format, or necessity unclear.

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 clearly states the verb 'Track' and the resource 'NCA submissions' with attributes (deadlines, status, overdue alerts), making it specific and distinguishable from siblings like deadline_tracker or incident_status.

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?

No guidance is provided on when to use this tool versus alternatives (e.g., deadline_tracker), nor are any usage restrictions or prerequisites mentioned.

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 must carry the burden of behavioral disclosure. It mentions content (deadlines, cross-jurisdiction) but does not specify whether the tool is read-only, has side effects, or what the response format is. For a zero-parameter tool, some behavioral clarity is still expected.

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 sentence with 12 words, front-loaded with the key verb 'Reporting obligations'. Every word adds value, no redundancy.

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?

Given no parameters and no output schema, the description covers the essential information: the scope of obligations (RPT-01 to RPT-08) and additional context (deadlines, cross-jurisdiction). Could be improved by noting it is a read-only lookup, but overall adequate for its simplicity.

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 input schema has zero parameters, achieving 100% coverage trivially. Per rubric, baseline is 4. The description does not need to add parameter info, as none exist.

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 clearly states that the tool provides reporting obligations with specific IDs (DORA-RPT-01 to RPT-08) and includes deadlines and cross-jurisdiction info. This distinguishes it from siblings like annual_report or get_report, which focus on individual reports.

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?

No guidance on when to use this tool versus alternatives. The description does not mention scenarios or exclusions, leaving the agent to infer usage from purpose alone.

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 must fully disclose behavior. 'Connectivity test' implies a non-destructive read operation, but it does not describe side effects, permissions, or error handling. The simplicity of the tool mitigates the need for extensive 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 extremely concise, consisting of two words. It front-loads the purpose effectively, with no wasted words.

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?

Given that there are no parameters and no output schema, the description is adequate but does not specify what the tool returns (e.g., success/failure, latency). For a connectivity test, agents would benefit from knowing the expected output.

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 no parameters, so the input schema defines all possible inputs. The description adds no additional parameter meaning, but the baseline for 0-parameter tools is 4.

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 'Connectivity test' clearly states the tool's purpose as a network connectivity check. Although it is concise, it does not differentiate this tool from sibling 'health_check', which might have overlapping functionality.

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?

No guidance is provided on when to use this tool versus alternatives like 'health_check'. For a tool with a sibling that may serve a similar purpose, some usage context would be helpful.

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 the full burden. It does not disclose if the tool is read-only, requires any permissions, or any side effects. The simply states it returns data, but lacks behavioral details.

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 a single, short sentence that is front-loaded with key information. It is concise but could be more structured to include output format or examples.

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?

Given the tool has no parameters and no output schema, the description is minimally adequate. It states what is returned (templates with mandatory fields count), but does not specify the format or how to interpret results. For a simple list tool, it covers the basics but leaves room for improvement.

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 input schema has no parameters and 100% coverage, so baseline is 3. The description adds no parameter-specific info, but since there are no parameters, this is acceptable. It does provide some output context.

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 clearly states the tool provides a list of ITS/RTS report templates along with the count of mandatory fields. It specifies the resource (templates) and the information provided, but does not differentiate from sibling tools like get_report or annual_report.

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?

No guidance is given on when to use this tool versus alternatives. With many sibling report tools, explicit usage context would be beneficial.

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 provided, the description bears full responsibility for behavioral disclosure. It mentions pulling data and checking fields, but does not specify side effects, permissions, idempotency, or output format. The behavior is partially described but lacks critical details for safe invocation.

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 concise with two sentences, each adding value. The first sentence states the main action and regulatory context, the second adds source and validation details. However, it sacrifices clarity on parameters for brevity.

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?

Given the complexity of an export tool and the lack of annotations and output schema, the description is insufficient. It does not explain the return value, prerequisites, or the role of 'entity_id'. The agent would lack critical context to use the tool correctly.

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 input schema includes one parameter 'entity_id' with no description coverage (0%). The tool description does not mention this parameter or explain its purpose, leaving the AI agent without guidance on how to use 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 clearly states the tool generates a Register of Information ITS export, referencing a specific regulation and mentioning source and validation steps. However, it does not differentiate from the sibling tool 'roi_validate', leaving some ambiguity about their specific roles.

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 description provides no guidance on when to use this tool versus alternatives like 'roi_validate'. It implies a use case (generating an export with validation) but does not explain prerequisites or when to avoid it.

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 exist, so the description must disclose behavioral traits. It does not indicate whether the operation is read-only, destructive, or requires authentication. The term 'Validate' implies checking but does not clarify if data is modified, what errors are returned, or any side effects.

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 a single sentence with no redundancy. Every word contributes meaning, and it is front-loaded with the core action and target. It is appropriately concise for the simplicity of the tool.

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?

Given no output schema or annotations, the description is insufficient. It does not explain what the validation result looks like (e.g., boolean, list of errors), nor does it clarify acronyms like 'ITS'. For a one-parameter tool, more context on behavior and results is needed.

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 0%, and the description adds minimal context for the sole parameter 'entity_id'. It mentions 'per provider', hinting that entity_id is a provider identifier, but does not specify format, source, or required values. The parameter remains ambiguous.

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?

Description clearly states the verb 'Validate' and the resource 'Register of Information' against 'ITS mandatory fields per provider'. It distinguishes itself from sibling tools like roi_export, which handles export, and other report tools, making the purpose unambiguous.

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?

No guidance on when to use this tool versus alternatives. The description lacks explicit context for when validation is appropriate, nor does it mention any prerequisites or exclusions. Siblings like roi_export or annual_report exist but no comparative guidance is provided.

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?

The description says 'pull', implying read-only, but fails to disclose whether the operation modifies local data or how it integrates with the report population. With no annotations, the agent is left guessing about side effects or state changes.

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 a single sentence, but it is under-specified. True conciseness would include key details without extra words; here, critical information is missing, making it more cryptic than concise.

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 tool with one parameter, no output schema, and no annotations, the description should explain the sync process, what 'latest entity data' means, whether data is returned or stored, and how it connects to 'report population'. The description is too vague to enable correct invocation.

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 only parameter 'entity_id' is not described in either the schema or the description. Schema coverage is 0%, so the agent cannot infer its format, purpose, or whether it is needed (it's optional). No context is provided about what entities can be synced.

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 clearly states the action 'pull latest entity data' from a specific source 'AmpelOracle' and the purpose 'for report population'. This sets it apart from sibling tools like 'annual_report' or 'approve_report' which are about report processing rather than data ingestion.

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?

No guidance on when to use this tool versus alternatives. The description does not mention any conditions, prerequisites, or exclusions. For example, it does not explain under what circumstances one should pull data or what other tools could be used for similar tasks.

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 the full burden. It reveals that data is pulled from TestOracle but does not disclose side effects (e.g., whether the tool creates a new report or modifies state), authorization needs, or limitations. The action 'generate' could imply mutation, but this is not clarified.

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 two concise sentences with no extraneous information. Every word adds value, and the structure is front-loaded with the core purpose.

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?

Given the tool's regulatory significance, the description is sparse. It lacks details about output format, return values, prerequisites, or any confirmation of successful generation. No output schema exists to compensate. The description is insufficient for an agent to use confidently.

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 is only one parameter (entity_id) with 0% schema description coverage. The description does not explain what entity_id refers to (e.g., the ID of the report, entity, or submission). No format or example is given, leaving the agent to guess.

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 clearly states the tool generates a TLPT results summary for NCA submission, referencing a specific regulatory article and data source (TestOracle). It distinguishes from siblings like 'get_report' or 'annual_report' by specifying the output (summary) and purpose (submission).

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 description implies usage for generating a regulatory summary, but it does not explicitly state when to use this tool over alternatives (e.g., 'get_report' for retrieving existing reports, or 'incident_report' for incidents). No when-not-to-use or prerequisite information is provided.

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