registeroracle

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

There are no annotations provided, so the description carries the full burden for behavioral disclosure. It only says 'Analyze', which implies a read/compute operation, but does not describe return format, side effects, data sources, or any operational details. With such sparse behavioral info, the agent lacks critical context for invoking the 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 tight two sentences. The first delivers the core purpose, the second adds regulatory relevance without redundancy. No filler or repetition, making it highly efficient.

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 there is no output schema and no annotations, the description must explain what the tool returns or how results are presented. It merely states 'Analyze ICT concentration risks' without describing the output type, format, or any operational constraints. For a no-input tool, this leaves a significant gap in what to expect.

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 has zero parameters, and the input schema is empty with 100% schema coverage vacuously. Per the rubric, 0 params gives a baseline of 4. The description adds value by indicating the analysis scope (providers, countries, cloud types), which clarifies what the no-parameter tool operates on.

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 a specific verb ('Analyze') and resource ('ICT concentration risks') with defined scope ('across providers, countries, cloud types'). This distinguishes it from siblings like get_provider or list_providers, which are retrieval tools, and even from gap_analysis or validate_roi, which focus on different compliance aspects.

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 a clear context for when to use the tool by citing 'DORA Art. 29 requires assessment of ICT concentration risk', implying this tool is for regulatory compliance. However, it does not explicitly state when not to use it or name alternative tools, so it stops short of full usage guidance.

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 must convey behavioral traits. It states the assessment is not guaranteed ('might qualify') and adds regulatory context about ESA oversight, but it does not disclose whether the operation is read-only, what side effects exist, or how errors are handled. The lack of explicit safety or behavioral notes leaves the agent guessing.

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 sentences, front-loaded with the action verb 'Assess' and clearly states the scope. It includes a helpful second sentence about the regulatory implication (direct ESA oversight) without redundancy. 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?

The tool is simple (one parameter, no output schema), and the description explains its purpose well. However, it does not describe the return value or outcome format (e.g., boolean, risk score), nor does it mention any dependencies on other tools or data. This leaves a gap in what the agent can expect from the 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?

Schema coverage is 100% as the only parameter (provider_id) is described in the schema. The description adds no additional detail about the parameter, such as expected format, required permissions, or how it relates to the assessment. Baseline 3 is appropriate since the schema already covers 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's purpose: assessing whether a provider might qualify as a CTPP under DORA Art. 31-44. It uses specific legal/regulatory terms and distinguishes this tool from siblings like concentration_risk or gap_analysis by focusing on CTPP qualification.

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 CTPP qualification assessments but does not explicitly state when to use it over alternatives or provide exclusionary guidance. There is no mention of prerequisites, such as the provider being registered, or comparison with other regulatory assessment tools.

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 full behavioral burden. It only says 'Export' without disclosing side effects, return format, permissions, or whether the export is generated as a file or streamed. This is a significant gap for a tool that presumably triggers a data export.

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 well-structured sentence that front-loads the verb and resource, with no wasted words. It is appropriately sized for the tool's simplicity.

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 optional parameter and no output schema, the description provides adequate context about the tool's purpose. It could benefit from a note about what data is included in the export or how the output is delivered, but the current level is sufficient for basic use.

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 100% for the single 'format' parameter, including an enum of 'json' and 'csv'. The description adds no additional meaning beyond saying the export is ITS-compliant, so it meets the baseline but does not exceed 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 action (Export), the resource (Register of Information), and the purpose (supervisory reporting) with a specific format (ITS-compliant). It distinguishes itself from sibling tools which focus on checks, provider management, and analysis.

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 phrase 'for supervisory reporting' provides clear context for when the tool is appropriate. No explicit exclusions or alternatives are mentioned, but the sibling tools are sufficiently different that the usage context is obvious.

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 carries full responsibility for behavioral disclosure. It fails to mention whether the operation is read-only, what output it produces, or if any side effects occur. The agent cannot infer safety or return expectations from this text.

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, concise sentence that front-loads the purpose and lists specific gap categories. Every word earns its place with no redundancy or filler.

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?

Although the tool has no parameters and a simple action, the description omits any indication of what the result looks like (e.g., a list, report, or summary). Since there is no output schema, the agent lacks full context on the expected return value, but the purpose is sufficiently clear for a basic call.

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 has zero parameters, so no parameter documentation is needed. The schema is vacuous, and the description need not explain any inputs. Baseline 4 applies per rubric for 0-parameter tools.

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 function with a specific verb 'Identify' and resource 'Register', and enumerates distinct gap types (missing fields, incomplete entries, missing exit plans, LEI coverage issues). This distinguishes it from sibling tools like register_stats or get_provider that serve different purposes.

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 use when gap analysis is needed but provides no explicit guidance on when not to use it or mentions alternatives. While siblings exist (concentration_risk, validate_roi), no exclusions are noted. This is minimal but not misleading.

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 states the action and the data categories but does not disclose error behavior, whether the provider must exist, or any side effects. Missing details like responses for invalid IDs.

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, direct sentence that efficiently conveys the tool's purpose without 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?

The tool has one parameter and no output schema. The description lists the return categories but does not detail the response structure or acknowledge potential errors, leaving some ambiguity for the agent.

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 fully describes the only parameter, 'provider_id', with a clear reference to 'list_providers'. The description adds no additional parameter semantics beyond what the schema already provides, so baseline 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 clearly identifies the operation ('Get'), the target resource ('specific provider'), and the scope of data returned ('full details, risk flags, and ITS completeness'), effectively distinguishing it from the sibling 'list_providers'.

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 fetching a single provider's details but does not explicitly state when to use this tool over alternatives like 'list_providers' 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 are provided, so the description carries full responsibility for disclosing behavior. It only states 'Server and data status', which vaguely implies a read-only health inspection but does not confirm whether the tool modifies anything, what metrics it reports, or whether it requires special permissions. This is a significant transparency gap.

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, using only seven words with no repetition. However, it is under-specified to the point of being a fragment rather than a clear sentence. It lacks a verb and any context, so while there is no wasted text, the brevity reduces usefulness.

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?

With no annotations, no output schema, and only a three-word description, the tool is insufficiently specified. The agent cannot infer what the health check will return, how to interpret 'server and data status', or whether any side effects occur. A health-check tool typically needs to explain the scope and format of its output, which is absent here.

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 is empty with zero parameters, so per the rubric the baseline is 4. There are no parameter names or descriptions to elaborate on, and the schema already fully covers this (100% 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 'Server and data status' clearly identifies the resource being examined (server and data) and implies a check/status report. It is distinct from sibling tools, which focus on providers, risk, and other domain-specific operations. However, it lacks an explicit verb like 'retrieves' or 'checks', which prevents a higher score.

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. There is no mention of typical scenarios, prerequisites, or exclusions. Sibling tool names suggest different purposes, but the description does not clarify when health_check is the appropriate choice.

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 read-only listing behavior but omits return format, pagination, filter combination semantics, and any large-data caveats. Since 'List' implies non-mutating, safety isn't the issue; the lack of behavioral detail for a potentially large collection is a gap.

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 well-formed sentence, front-loaded with action and scope; 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?

Tool has 4 optional params, no output schema, no annotations. Description fails to specify what fields are returned, how filters combine, or pagination behavior. It's adequate as a one-liner but incomplete for autonomous 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?

Schema coverage only 25%; description only says 'optional filters' without defining country/service_type/filter semantics. The enum for criticality is in schema, but description adds no clarification for combining filters or accepted values.

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?

States clear action 'List all ICT third-party providers' with scope 'Register of Information' and optional filters. Distinguishes from sibling get_provider (single) and register_provider (creation).

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?

Clear context: use to retrieve all providers, optionally filtered. Does not explicitly name alternatives or exclusions, but 'list all' contrasts with get_provider.

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 of disclosing behavioral traits, but it only says 'Add or update.' It does not mention overwrite semantics, required permissions, auto-generated provider_id, validation behavior, or reversibility, which are critical for a mutating 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 only two sentences with no filler, which is concise and front-loaded. However, the second sentence is a loose list ending with 'etc.,' which is slightly less structured than it could be.

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?

This is a 21-parameter tool with no annotations and no output schema, yet the description is a brief high-level overview. It does not explain return values, update behavior, which parameters are required in practice, or key constraints like provider_id auto-generation, making it incomplete 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?

Schema description coverage is only 52%, so the description should compensate for undocumented parameters. It lists a few key ITS fields (LEI, service type, criticality, data location, exit plan) but adds no meaning for the many optional fields like notes, audit_rights, certifications, notification_clause, and last_risk_assessment. The 'etc.' is vague and unhelpful.

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 the specific verb 'Add or update' with a clear resource ('ICT third-party provider in the DORA Register of Information'), which immediately distinguishes this write/upsert tool from sibling read tools like get_provider and list_providers.

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 phrase 'Add or update' gives clear context for when to use this tool, but it does not explicitly name alternatives or state when not to use it. It is sufficiently clear for a write operation, though no exclusions are 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?

With no annotations provided, the description carries the full burden. It implies a read-only summary operation and lists the data categories, adding some context. However, it does not explicitly state that it is read-only, describe potential side effects, permissions, 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?

The description is a single concise phrase that front-loads the key term 'Dashboard summary' and enumerates the metrics. It is efficient and easy to parse, though it is a noun phrase rather than a complete sentence.

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 provides a clear list of the summary contents, which is largely sufficient for an agent to know what to expect. It could add a note about return format, but the simplicity of the tool reduces the need.

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 has zero parameters and an empty input schema. The baseline for 0 parameters is 4, and the description does not need to explain parameters. The schema coverage is 100%, so there is no gap.

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 identifies the resource as a dashboard summary and lists specific metrics it includes (provider counts, criticality distribution, ITS field completeness, exit plan, LEI coverage). It lacks an explicit verb but the intent is clear. It does not differentiate itself from sibling tools like list_providers or concentration_risk.

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 alternatives. No context, exclusions, or references to sibling tools are provided. The description simply states what the tool returns without any usage direction.

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 present, so the description carries the full burden. It discloses the types of checks performed (mandatory fields, exit plans, LEI coverage), implying a read-only validation action. However, it does not explain output format, side effects, or any prerequisites, leaving some behavioral traits undisclosed.

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, well-structured sentence that front-loads the action and resource, then provides concrete examples of checks. Every word earns its place, with 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?

The tool lacks annotations and an output schema, so the description is the sole source of context. It adequately defines the validation scope but does not mention return values, success/failure behavior, or any additional context needed for full usage. This leaves it slightly incomplete.

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 has zero parameters and an empty input schema, so there is no parameter information to add. According to the baseline for 0 params (score 4), the description appropriately doesn't attempt to add parameter semantics.

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: validating the entire Register of Information against DORA ITS requirements. It uses a specific verb ('Validate') and resource, and lists concrete checks (mandatory fields, exit plans, LEI coverage), distinguishing it from sibling tools like gap_analysis or health_check.

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 clear context for when to use the tool — when a comprehensive validation against DORA ITS is needed. It does not explicitly name alternatives or exclusions, but the scope is unambiguous.

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