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

With no annotations provided, the description carries full disclosure burden but provides minimal behavioral context. It mentions authentication (access token) but omits what data structure is returned, pagination behavior, rate limits, or error conditions. The agent cannot determine if this is a safe read operation or what fields the locations 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?

Extremely concise at 9 words in a single sentence. Front-loaded with verb 'Fetch'. While no words are wasted, the brevity crosses into under-specification given the lack of annotations and output schema. Appropriate density but insufficient length for the complexity.

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 presence of multiple location-related siblings and no output schema, the description inadequately prepares the agent for tool selection. It fails to explain return values, distinguish this list operation from single-record retrieval, or document authentication requirements beyond the parameter itself.

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 100% description coverage, establishing a baseline of 3. The description adds no additional parameter semantics beyond mentioning the access token (already documented in schema). It does not explain the relationship between group_id and the returned locations or provide usage examples.

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 basic action (Fetch locations) and target API (Obenan), matching the tool name's intent. However, it fails to clarify the 'my' aspect (user-specific locations vs. public/global) or distinguish from siblings like 'get_location_details' and 'search_locations_by_name', leaving ambiguity about scope and return cardinality.

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 provided on when to use this tool versus the three sibling location tools. The description does not indicate whether this returns a list vs. single record, or when to prefer searching by name versus fetching 'my' locations.

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 but fails to address idempotency, error handling (e.g., 404 for invalid IDs), what constitutes 'detailed information,' or specific auth requirements beyond the parameter name.

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 with no redundancy. However, it is arguably underspecified given the lack of annotations and output schema, though structurally it is 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?

Without an output schema, the description should clarify what 'detailed information' includes (e.g., address, hours, coordinates) or behavioral traits. It also lacks differentiation from siblings and auth context, leaving operational 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 100%, with both location_id and access_token fully documented in the schema. The description adds no additional parameter semantics, but given the high schema coverage, the 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 verb ('Get'), resource ('detailed information about a specific location'), and scope ('by ID'). The 'by ID' phrasing implicitly distinguishes it from sibling search_locations_by_name and fetch_my_locations, though it does not explicitly name these alternatives.

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 siblings like search_locations_by_name (when the ID is unknown) or fetch_my_locations (for bulk retrieval). No prerequisites or exclusions are 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?

With no annotations provided, the description carries full burden for behavioral disclosure but fails to indicate if the operation is read-only, destructive, or idempotent. It does not disclose rate limits, authentication requirements, or what format the analysis results take.

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 and appropriately concise, but suffers from under-specification rather than efficient information density. It is front-loaded with the verb and resource, yet wastes the opportunity to provide behavioral details within the same length.

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 single-parameter tool, the description is insufficient given the lack of output schema and annotations. It fails to explain what the Obenan Review Analyzer actually returns or the nature of the analysis performed, leaving critical gaps in the agent's 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 100% description coverage for the single 'prompt' parameter. The description adds no additional semantics about parameter format, expected content, or examples, meeting the baseline expectation when the schema is self-documenting.

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 identifies the resource (reviews) and action (analyze), but 'analyze' is vague regarding the specific analysis type (sentiment, summarization, extraction). It mentions the Obenan API, providing domain context that distinguishes it from location-focused siblings, though the core purpose remains under-specified.

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 provided on when to use this tool versus the location-based siblings (fetch_my_locations, etc.), nor any prerequisites, input constraints, or conditions for optimal use. The agent must infer applicability solely from the tool name.

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 but fails to specify what the tool returns (list of locations? IDs only? how many results?), pagination behavior, search matching logic (partial, case-sensitive), or rate limits. The 'allow selection' phrase suggests interactive behavior but doesn't clarify the actual API mechanics.

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 brief (11 words) and front-loads the primary action, but the second clause 'and allow selection to get details' is structurally awkward and semantically vague. It attempts to pack workflow guidance into a single sentence, resulting in confusing phrasing that could be interpreted as the tool having interactive UI capabilities.

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 2-parameter search tool without output schema, the description covers the minimum viable use case but leaves significant gaps. It doesn't describe the return format (critical since no output schema exists), result limits, or the relationship to fetch_my_locations. Adequate but clearly incomplete given the lack of structured metadata.

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 100% schema description coverage, the schema adequately documents both search_term and access_token without requiring additional description text. The description mentions no parameters explicitly, but the schema compensates fully, meeting the baseline expectation for this dimension.

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 core action ('Search for locations') and filtering criteria ('containing a specific name'). However, the phrase 'allow selection to get details' is ambiguous—it's unclear if the tool performs selection or merely returns candidates for selection via the sibling get_location_details tool.

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 a workflow (search → get details) but doesn't explicitly state when to use this tool versus fetch_my_locations. It hints at using results with get_location_details via 'allow selection to get details,' but lacks explicit 'when to use/when not to use' guidance or clear differentiation from the sibling that fetches 'my locations'.

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