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

The verb 'Get' implies a read-only operation with no side effects, but the description does not explicitly state that it does not modify data or mention any permissions or limitations. Since no annotations are provided, the description carries the burden but only partially covers behavioral 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 a single, concise sentence with no redundant information. It is well-structured and immediately understandable, making it easy for an agent to parse.

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 and the schema fully documents inputs. However, there is no output schema and the description does not mention pagination, return format, or potential size constraints. Given the low complexity, this is mostly sufficient, but a bit more detail about the response would improve completeness.

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 schema covers 100% of parameters with descriptions, including the enum values and the default for sortByRating. The description does not add any additional semantic detail beyond the schema, so a baseline score of 3 is appropriate.

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: retrieving all content on a given platform. It uses a specific verb ('Get') and resource ('content'), and the platform scope is explicit. This distinguishes it from sibling tools that focus on recommendations or search.

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 its siblings. While the name and description imply it is for broad retrieval, it does not direct users to alternatives like 'search_content_by_title' for narrower queries or 'get_recommendations_by_platform_and_rating' for filtered results.

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 burden. The verb 'Get' clearly indicates a read-only, non-destructive operation. There are no side effects, rate limits, or other behavioral traits to disclose for such a simple tool, so the description adequately covers 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?

A single, efficient sentence that front-loads the verb and resource. Every word earns its place, with no unnecessary elaboration or repetition.

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, no-output-schema tool, the description is complete enough. It identifies the returned data categories. It does not specify the exact format (e.g., array of objects, separate lists), but this is a minor gap for a simple list retrieval.

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 there is nothing to document beyond the schema. The description adds value by specifying exactly what data is returned (platforms and genres), which helps the agent understand the output without needing an output 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 verb ('Get') and the resource ('available platforms and genres') with a clear purpose ('for filtering'). It is immediately distinct from the sibling tools, which all focus on recommendations, search, or content details.

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 tool is a simple lookup utility with no parameters. Its purpose is clear from the description, and it is not ambiguous when to use it compared to siblings. However, it does not explicitly mention alternatives or provide any contextual 'when to use' guidance, but the distinct nature makes that unnecessary.

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 behavioral disclosure, but it only says 'Get detailed information'. It does not state whether the operation is read-only, what happens when the title is not found, whether authentication is needed, or what the returned details contain.

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 with no filler or repetition. It is somewhat generic, but it is efficiently structured and immediately understandable.

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 retrieval tool, the description is minimally adequate, but the absence of an output schema and any mention of the shape of 'detailed information' leaves a gap. An agent would not know what to expect in the response or how to handle a missing title.

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%, so the title parameter is already fully documented. The description adds no extra meaning about the parameter beyond the schema, which matches the baseline for fully covered schemas.

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 clear action and object: 'Get detailed information about a specific content'. The required title parameter clarifies what makes the content specific. It does not explicitly differentiate itself from sibling search_content_by_title, but the read-details intent is understandable.

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 for when to call this tool versus siblings such as search_content_by_title or get_top_rated_content. The description does not mention prerequisites, exclusions, or alternative routing, leaving the agent to infer usage from the tool name 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 carries the full burden. It does not mention that the operation is read-only, what the return format looks like, or any side effects, rate limits, or error behavior. The description is minimal and leaves much to the agent's interpretation.

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, clear sentence with no unnecessary words or redundancy. It efficiently conveys the core purpose without 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 lack of an output schema, the description should ideally indicate the return type (e.g., a list of recommendations) but does not. It also does not mention the default behavior of contentType (even though the schema notes the default is 'both'), leaving some context missing.

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 schema provides full descriptions for all parameters, so the baseline is 3. The tool description restates three of the four parameters but adds no new semantic detail beyond what the schema already offers, and it ignores contentType entirely.

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 action (Get) and resource (OTT recommendations) and specifies the three main filters (platform, genre, minRating). However, it omits the optional contentType filter, which is present in the schema, slightly reducing completeness.

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 does not indicate when to use this tool versus the similar sibling tools like get_recommendations_by_platform_and_rating or get_recommendations_by_genre_and_rating. No conditions or alternatives are mentioned, leaving the agent to infer based on the filter combination.

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 correctly discloses that results are filtered by genre and minimum rating, but does not mention the optional content type default or any result ordering/limits.

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, focused sentence with no filler or redundant wording. It front-loads the main action and key filters.

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 three-parameter schema and sibling tools, the description is mostly complete for selection. The only notable gap is not mentioning the optional contentType parameter in the description, though it is fully documented in the schema.

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%: all three parameters have descriptions and two have enums. The tool description adds no extra semantic detail beyond what the schema already provides, so the baseline score 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?

Description clearly states the verb 'Get' and the resource 'OTT recommendations', with explicit filters for genre and minimum IMDB rating. It distinguishes from the platform/rating sibling but omits the content type filter, which is a parameter.

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 similar siblings like get_recommendations_by_platform_and_rating or get_recommendations_by_criteria. The intended use is implied but not explicitly contrasted.

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 of behavioral disclosure. It states a read-like action ('get') but does not describe output format, pagination, potential rate limits, or any side effects. For a tool with no annotation coverage, this is a significant gap, as the agent cannot infer behavior beyond the basic retrieval 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 a single, efficient sentence that captures the core purpose without waste. It is appropriately concise for a simple filtering tool, though it lacks any structural elements like sections or examples. It does not under-specify the primary action.

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 three parameters, including an optional contentType that is not mentioned in the description. There is no output schema, and the description does not explain the return value, default behavior for contentType, or how the results are ordered. For an agent to call this correctly, it needs to know the optional parameter's semantics and what to expect in response. The description is incomplete in these respects.

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 100% coverage, with descriptions for all three parameters including enums for platform and contentType, and a range for minRating. The description adds no additional meaning beyond the schema, so a baseline score of 3 is appropriate. It does not clarify defaults or interactions between parameters.

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 retrieves OTT recommendations filtered by platform and IMDB rating, with a specific verb and resource. It is unambiguous about its core function, but it does not explicitly differentiate itself from siblings like get_recommendations_by_genre_and_rating or get_recommendations_by_criteria, which also offer filter-based recommendations.

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. The description only implies usage via the filter combination, but it does not mention when to prefer it over get_recommendations_by_genre_and_rating or get_all_content_on_platform. There are no explicit conditions 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?

No annotations are provided, so the description carries full responsibility. It states the action but does not explicitly mention that it is read-only, how the 'highest-rated' metric is defined, or that it returns a list with a default limit.

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, clear sentence with no unnecessary words or details, making it highly concise and well-structured.

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 simple query tool with three optional parameters, the description is adequate. It does not specify the output format, but that is not explicitly required given the absence of an output schema. The context of 'content' and 'highest-rated' is sufficient for most agents.

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% (all three parameters have descriptions). The descriptions are concise and accurate, such as 'Filter by specific genre' and 'Maximum number of results', so the schema itself carries the semantic weight.

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: 'Get the highest-rated OTT content' uses a specific verb and resource, and the qualification 'highest-rated' distinguishes it from sibling tools like search_content_by_title or get_recommendations_by_platform_and_rating.

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 its siblings. It does not mention that it is appropriate for broad top-rated queries or that more specific criteria should use other 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 only restates the function without detailing return format, pagination, case sensitivity, or side effects. The description adds no behavioral context beyond what the name suggests.

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, front-loaded sentence that conveys the core purpose without waste. It is appropriately sized for a simple search 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?

The description is too minimal for a tool with no output schema and no annotations. It does not mention what the response contains (e.g., list of matches, details) or any filtering behavior. An agent may need to infer the return format from context, which is a significant gap.

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%, and both parameters are described. The description adds little beyond the schema; it only mentions 'by title', which aligns with the required parameter. No extra semantic context for exactMatch is provided.

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 states a clear verb ('Search') and resource ('OTT content') with a specific modifier ('by title'). It is distinct from sibling tools that focus on recommendations and platform/genre filters, so an agent can easily differentiate it.

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 usage is implied: use when searching by title. However, there is no explicit statement of when not to use it or mention of alternatives like get_recommendations_by_criteria for broader discovery. The description does not provide explicit routing guidance.

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