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

With no annotations provided, the description carries the full burden. It discloses the tool's behavior by describing what it calculates and the return format ('Time difference with detailed breakdown'), but doesn't mention error handling, performance characteristics, or limitations like maximum date ranges.

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 perfectly structured with a clear purpose statement followed by well-organized Args and Returns sections. Every sentence earns its place by providing essential information without redundancy or fluff.

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 moderate complexity, 3 parameters with 0% schema coverage, and the presence of an output schema, the description is quite complete. It explains the tool's purpose, parameters, and return value. The main gap is the lack of behavioral details like error cases or limitations.

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 description adds significant value beyond the 0% schema description coverage by explaining each parameter's purpose, format requirements ('ISO format'), and defaults. It clarifies that end_datetime is optional and defaults to current time, and that timezone_name defaults to UTC - information not present in 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's purpose with specific verbs ('calculate the time difference') and resources ('between two datetimes or from a start time to now'). It distinguishes itself from sibling tools like 'get_current_datetime' by focusing on difference calculation rather than current time retrieval.

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 this tool ('between two datetimes or from a start time to now') and mentions the optional end_datetime defaulting to current time. However, it doesn't explicitly state when NOT to use it or mention alternatives among sibling 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 carries the full burden of behavioral disclosure. It states the tool downloads data, implying a read operation, but doesn't cover critical aspects like authentication requirements, rate limits, error handling, or whether it's idempotent. The description adds minimal behavioral context beyond the basic action.

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 well-structured with sections for Args and Returns, using bullet points for clarity. It's front-loaded with the purpose and avoids unnecessary details. However, the 'Returns' section could be more concise, and some sentences are slightly verbose (e.g., 'in formatted text or JSON structure').

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 moderate complexity (3 parameters, no annotations, but with an output schema), the description is partially complete. It covers the purpose and parameters but lacks behavioral details (e.g., auth, errors). The output schema exists, so the description doesn't need to explain return values in depth, but overall it's adequate with clear 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?

Schema description coverage is 0%, so the description must compensate. It lists all three parameters with brief explanations (e.g., 'Read.AI meeting ID') and default values, adding meaning beyond the schema's titles. However, it doesn't detail format constraints (e.g., meeting_id structure) or interactions between include_transcript and include_summary, leaving gaps.

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: 'Download meeting transcript and/or summary from Read.AI.' It specifies the verb (download) and resource (meeting transcript/summary) with the source (Read.AI). However, it doesn't differentiate from sibling tools, which are unrelated (time calculation, datetime, server status), so no sibling distinction is needed or provided.

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. It doesn't mention prerequisites (e.g., authentication), context for meeting_id sourcing, or comparison to other data retrieval methods. The usage is implied by the purpose but lacks explicit when/when-not instructions.

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 burden. It mentions what the tool does but lacks behavioral details such as whether it requires authentication, has rate limits, or how errors are handled (e.g., invalid timezone). The description is functional but misses key operational context for a tool with parameters.

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 well-structured with a clear opening sentence and organized sections for Args and Returns. It's appropriately sized, but the 'Returns' section is somewhat redundant given the presence of an output schema, slightly reducing efficiency without adding unique value.

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 low complexity (2 parameters, no nested objects) and the presence of an output schema (which handles return values), the description is mostly complete. It covers purpose and parameters well, but could improve by adding more behavioral context (e.g., error handling) since annotations are absent, leaving minor 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?

The description adds significant meaning beyond the input schema, which has 0% coverage. It explains both parameters: timezone_name with examples (e.g., 'UTC', 'US/Eastern') and format_type with options ('iso', 'readable', 'timestamp', 'custom'), clarifying their purposes and valid values, fully compensating for the schema's lack of descriptions.

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 with specific verb ('Get') and resource ('current date and time'), including key aspects like timezone and format. It distinguishes itself from sibling tools (e.g., calculate_time_difference, download_meeting_data) by focusing solely on retrieving current datetime without calculations or data downloads.

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 through the mention of 'specified timezone and format', suggesting it's for when formatted datetime is needed. However, it lacks explicit guidance on when to use this tool versus alternatives (e.g., no comparison to calculate_time_difference for time calculations) or any exclusions, leaving usage context somewhat inferred.

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 burden for behavioral disclosure. It states the tool 'checks' status and returns a report, which implies a read-only operation, but doesn't specify if it requires authentication, has rate limits, or affects system state. The description adds minimal behavioral context beyond the basic action, missing details like whether it performs active probing or returns cached data.

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 and well-structured. The first sentence directly states the tool's purpose, and the 'Returns:' section clearly indicates the output without unnecessary elaboration. Every sentence earns its place, with no redundant or vague phrasing, making it easy to parse quickly.

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 simplicity (zero parameters, no annotations, but with an output schema), the description is reasonably complete. It explains what the tool does and what it returns, and the output schema will handle return value details. However, it lacks context about the utility integrations (e.g., what types, why check them), which could help an agent understand when this tool is relevant.

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 has 100% description coverage (though empty). The description appropriately doesn't discuss parameters, as none exist. It could theoretically mention that no inputs are required, but this is adequately covered by the schema. The baseline for zero parameters is 4, as the description doesn't need to compensate for any parameter documentation gaps.

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 with a specific verb ('Check') and resource ('status of all utility server integrations'), making it immediately understandable. It distinguishes itself from siblings like 'calculate_time_difference' or 'download_meeting_data' by focusing on system status rather than data processing or retrieval. However, it doesn't explicitly differentiate from potential similar tools (e.g., 'check_server_health'), which prevents a perfect 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. It doesn't mention prerequisites, timing considerations, or suggest using other tools for related tasks. For example, it doesn't clarify if this should be used before invoking utility-dependent tools like 'download_meeting_data', leaving usage context entirely implicit.

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