Server Quality Checklist

Tool Scores

• get_route_directionsA
  3.6/5.0
  Behavior3/5

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

  With no annotations, the description must convey behavioral traits. It adds useful context: uses OSRM, output can be minimized via parameters, and returns a dictionary with routing info. However, it does not mention side effects, rate limits, error handling, or explicitly label itself as read-only, so it only partially carries the transparency burden.

  Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

  Conciseness4/5

  Is the description appropriately sized, front-loaded, and free of redundancy?

  The description is well-structured with a purpose statement, an Args list, and an example. It is moderately lengthy but each sentence earns its place given the 8 parameters. The front-loading is effective and the format is readable.

  Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

  Completeness4/5

  Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

  Given the tool's complexity (8 params, no output schema, no annotations), the description covers the purpose, parameters, return format, and provides an example. It lacks details on edge cases or error conditions, but for a routing tool this is fairly complete and sufficient for an agent to invoke it.

  Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

  Parameters5/5

  Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

  The input schema has 0% description coverage, but the description's Args section comprehensively documents every parameter with types, defaults, and allowed values (e.g., mode, steps, overview, annotations). This fully compensates for the schema gap and adds meaning well beyond the raw schema.

  Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

  Purpose4/5

  Does the description clearly state what the tool does and how it differs from similar tools?

  The description clearly states 'Calculate detailed route directions between two geographic points' with specific verb and resource, and further explains it uses OpenStreetMap/OSRM. It is unambiguous but does not explicitly differentiate from sibling tools like analyze_commute, so it stops short of a 5.

  Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

  Usage Guidelines2/5

  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. It states what it does but does not mention scenarios where it should be preferred or excluded, leaving the agent to infer usage from the purpose.

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

• analyze_neighborhoodA
  3.8/5.0
  Behavior4/5

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

  With no annotations provided, the description carries the transparency burden and does a good job: it explains the tool evaluates multiple livability factors, returns counts and proximity scores, and lists expected output contents. It implies a safe read-only analysis, though it does not explicitly state 'no 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.

  Conciseness4/5

  Is the description appropriately sized, front-loaded, and free of redundancy?

  The description is well-structured with intro, Args, and Returns sections. It front-loads the main purpose and each part contributes useful information, although the 'Invaluable for...' sentence is slightly promotional but still adds use-case context.

  Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

  Completeness4/5

  Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

  Given there is no output schema, the description provides a comprehensive list of return categories and metrics. It covers purpose, parameters, and outputs adequately for a read-only analysis tool, but could mention data source limitations or error handling.

  Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

  Parameters4/5

  Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

  Schema description coverage is 0%, but the description compensates by defining all three parameters in the Args section: latitude/longitude as center point in decimal degrees and radius in meters with a default. This adds meaningful context beyond the raw schema.

  Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

  Purpose4/5

  Does the description clearly state what the tool does and how it differs from similar tools?

  The description states a specific action ('Generate a comprehensive neighborhood analysis') and resource ('focused on livability factors'), listing key evaluation categories. It distinguishes itself from siblings by emphasizing a multi-factor livability scoring approach, though explore_area may have some overlap.

  Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

  Usage Guidelines3/5

  Does the description explain when to use this tool, when not to, or what alternatives exist?

  It mentions clear use cases ('real estate decisions, relocation planning, and neighborhood comparisons'), but does not explicitly contrast with sibling tools such as explore_area or find_nearby_places. Usage context is implied rather than explicitly differentiated.

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

• analyze_commuteA
  4.2/5.0
  Behavior3/5

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

  With no annotations, the description must carry transparency. It discloses that the tool returns estimated times, distances, and turn-by-turn directions, but it does not mention any limitations, data sources, or side effects. It describes the output but omits behavioral traits like rate limits or accuracy caveats.

  Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

  Conciseness4/5

  Is the description appropriately sized, front-loaded, and free of redundancy?

  The description is reasonably concise and well-structured, with a clear purpose statement followed by Args/Returns sections. It front-loads the primary action and keeps each section focused, though it could trim some redundancy between the description and the schema.

  Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

  Completeness4/5

  Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

  Given the tool's complexity, lack of annotations, and no output schema, the description provides a strong context: it explains use cases, all parameters, and a detailed return summary. It misses edge cases or examples, but it is complete enough for an agent to understand what the tool does and when to use it.

  Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

  Parameters5/5

  Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

  The schema has 0% description coverage, but the description compensates fully by documenting all six parameters with types, units (decimal degrees), and formats (HH:MM). It also explains the modes options and the purpose of depart_at, adding significant meaning beyond the raw schema.

  Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

  Purpose5/5

  Does the description clearly state what the tool does and how it differs from similar tools?

  The description clearly states 'Perform a detailed commute analysis between home and work locations,' which specifies the verb, resource, and scope. It distinguishes itself from sibling tools like get_route_directions by emphasizing multi-modal comparison and advanced metrics, and by mentioning real estate and relocation use cases.

  Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

  Usage Guidelines4/5

  Does the description explain when to use this tool, when not to, or what alternatives exist?

  The description provides clear use-case context ('Essential for real estate decisions, lifestyle planning, and workplace relocation analysis') but does not explicitly list when-not-to-use or alternative tools. It implies a scenario where comparing multiple modes is needed, which is helpful but not fully explicit.

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

• find_ev_charging_stationsA
  4.2/5.0
  Behavior2/5

  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 does not mention whether the operation is read-only, potential rate limits, authentication needs, or any side effects. The only behavior implied is a search/query, but without explicit disclosure, the agent lacks critical safety or operational context.

  Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

  Conciseness5/5

  Is the description appropriately sized, front-loaded, and free of redundancy?

  The description is well-structured: a clear purpose sentence, a brief explanation of functionality, a parameter breakdown, and a return value summary. Every sentence serves a purpose, and there is no redundant or fluff content. The length is justified given the parameter count and lack of other documentation.

  Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

  Completeness5/5

  Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

  Given the tool's complexity (5 parameters, no output schema, no annotations), the description is remarkably complete. It covers the tool's purpose, usage context, all parameters with semantics, and the shape of the return value. There is no missing critical information for an agent to select and invoke this tool correctly.

  Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

  Parameters5/5

  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 fully. It does: the 'Args:' section explains each parameter with types, defaults, and examples (e.g., 'radius: Search radius in meters (defaults to 5000m/5km)' and 'connector_types: Optional list of specific connector types to filter by (e.g., ["type2", "ccs", "tesla"])'). This adds significant meaning beyond the raw schema.

  Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

  Purpose5/5

  Does the description clearly state what the tool does and how it differs from similar tools?

  The description clearly states the tool's purpose: 'Locate electric vehicle charging stations near a specific location.' It uses a specific verb (locate/find) and resource (EV charging stations), and distinguishes itself from sibling tools like find_nearby_places or search_category by specializing in EV charging infrastructure.

  Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

  Usage Guidelines4/5

  Does the description explain when to use this tool, when not to, or what alternatives exist?

  The description provides clear context on when to use the tool: 'Essential for EV owners planning trips or evaluating potential charging stops.' It does not explicitly mention alternatives or when-not-to-use, but the specialization makes the use case obvious. This is more than implied usage, so a 4 is appropriate.

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

• reverse_geocodeA
  4.3/5.0
  Behavior4/5

  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 details the output components (formatted address, administrative hierarchy, OSM metadata, etc.) and specifies the coordinate system (WGS84). It does not cover error handling or edge cases, but for a read-only conversion tool, the disclosed behavior is adequate and informative.

  Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

  Conciseness4/5

  Is the description appropriately sized, front-loaded, and free of redundancy?

  The description is well-structured with a clear one-sentence summary, a brief explanatory paragraph, and labeled Args/Returns sections. It front-loads the purpose and then provides necessary details. The Returns list is somewhat verbose, but each item adds functional value and the overall length is proportionate to the tool's complexity.

  Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

  Completeness4/5

  Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

  For a two-parameter geocoding tool with no output schema and no annotations, the description is quite complete. It covers purpose, usage context, parameter semantics, and return value structure. Missing aspects like potential failure modes (e.g., invalid coordinates, offline usage) are minor given the simplicity of the operation.

  Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

  Parameters4/5

  Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

  The input schema provides only type and requirement, with no parameter descriptions (0% coverage). The description compensates by explicitly defining both parameters with format details ('decimal degrees, WGS84'), adding semantic meaning beyond the raw schema. It lacks constraints like valid ranges, but the essential format information is present.

  Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

  Purpose5/5

  Does the description clearly state what the tool does and how it differs from similar tools?

  The description clearly states a specific verb ('Convert') and resource ('geographic coordinates to a detailed address and location description'). The opening sentence directly mirrors the tool name, and the phrase 'Useful for translating GPS coordinates into human-readable locations' reinforces the reverse geocoding use case, distinguishing it from forward geocoding (geocode_address) and other siblings.

  Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

  Usage Guidelines4/5

  Does the description explain when to use this tool, when not to, or what alternatives exist?

  The description provides a clear use case: translating GPS coordinates into human-readable locations. It does not explicitly name alternatives or when-not-to-use scenarios, but the tool's purpose is unambiguous and the sibling context implies when it should be chosen over geocode_address.

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

• explore_areaA
  4.4/5.0
  Behavior4/5

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

  With no annotations, the description carries the full transparency burden. It explains that the tool 'identifies and categorizes all geographic features, amenities, and points of interest' and details the return structure (address, feature count, categories, metadata). It does not mention limitations such as data completeness or radius restrictions, but generally behaves transparently for a read-only analysis tool.

  Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

  Conciseness4/5

  Is the description appropriately sized, front-loaded, and free of redundancy?

  The description is well-structured with a lead summary, use-case sentence, and Args/Returns sections. However, the second sentence ('This powerful analysis tool creates a detailed overview...') closely rephrases the opening sentence, creating mild redundancy. Overall, each section earns its place, but trimming duplicate phrasing would improve conciseness.

  Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

  Completeness4/5

  Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

  Given the tool has no annotations and no output schema, the description covers the essential aspects: what it does, parameters, and return format. The Returns section provides a useful outline of the profile structure. It omits edge cases and explicit limitations, but it is sufficient for a straightforward analysis tool.

  Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

  Parameters5/5

  Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

  The input schema has zero description coverage, but the description's 'Args' section explains all three parameters with units and defaults: latitude/longitude in decimal degrees and radius in meters with default 500. This fully compensates for the lack of schema descriptions and gives clear semantic meaning.

  Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

  Purpose5/5

  Does the description clearly state what the tool does and how it differs from similar tools?

  The description opens with a specific action: 'Generate a comprehensive profile of an area including all amenities and features.' This clearly states what the tool does and the broad scope distinguishes it from sibling tools like find_nearby_places or search_category that perform narrower searches. The additional context of 'neighborhood research, area comparisons, and location-based decision making' reinforces the purpose.

  Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

  Usage Guidelines4/5

  Does the description explain when to use this tool, when not to, or what alternatives exist?

  The description suggests appropriate use cases ('Excellent for neighborhood research, area comparisons, and location-based decision making') but does not explicitly contrast with alternatives or state when not to use it. It provides clear context but leaves the comparison to sibling tools (e.g., analyze_neighborhood, find_nearby_places) to the agent.

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

• find_nearby_placesA
  4.5/5.0
  Behavior4/5

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

  With no annotations, the description carries the full burden. It discloses that results are 'organized by category and subcategory' and details the return structure (original query, total count, grouped results). While it doesn't mention side effects or rate limits, as a search tool it doesn't need to; it adds behavioral context beyond a simple statement.

  Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

  Conciseness4/5

  Is the description appropriately sized, front-loaded, and free of redundancy?

  The description is well-structured with a clear summary, paragraphs, Args section, and Returns section. It is slightly longer than necessary but each part earns its place, especially the parameter documentation and return structure explanation.

  Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

  Completeness5/5

  Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

  Given no output schema, the description thoroughly explains the return value structure. All 5 parameters are documented, and the tool's purpose and use cases are covered. It is complete for a search tool of moderate complexity.

  Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

  Parameters5/5

  Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

  Schema description coverage is 0%, and the description compensates fully. Each parameter (latitude, longitude, radius, categories, limit) is explained, including defaults, examples, and behavior when omitted (e.g., 'If omitted, searches common categories').

  Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

  Purpose5/5

  Does the description clearly state what the tool does and how it differs from similar tools?

  The description clearly states the tool discovers points of interest and amenities near a location, specifying 'comprehensive search around a geographic point.' It distinguishes itself from siblings like find_schools_nearby and find_ev_charging_stations by emphasizing generic POI search and category/subcategory organization.

  Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

  Usage Guidelines4/5

  Does the description explain when to use this tool, when not to, or what alternatives exist?

  Provides clear usage context: 'Essential for location-based recommendations, neighborhood analysis, and proximity-based decision making.' However, it does not explicitly mention when not to use it or name alternative tools, so it lacks explicit exclusions.

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

• geocode_addressA
  4.5/5.0
  Behavior4/5

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

  With no annotations provided, the description carries the full burden. It explains the transformation from text to coordinates, includes the possibility of multiple matches, and details returned metadata. It does not mention errors or limitations, but the core behavior is well-covered.

  Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

  Conciseness4/5

  Is the description appropriately sized, front-loaded, and free of redundancy?

  The description is well-structured with a one-sentence summary, then 'Args' and 'Returns' sections. It is somewhat verbose but every sentence adds useful information, making it efficient rather than bloated.

  Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

  Completeness5/5

  Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

  Given the tool's complexity and lack of an output schema, the description thoroughly explains both input and output, including return fields and use cases. It leaves little ambiguity about what the tool does and what an agent can expect.

  Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

  Parameters5/5

  Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

  The schema has zero description coverage, but the description compensates with an 'Args' section that explains the address parameter and provides concrete examples, adding significant meaning beyond the schema's bare string type.

  Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

  Purpose5/5

  Does the description clearly state what the tool does and how it differs from similar tools?

  The description clearly states the tool converts an address or place name to geographic coordinates, which distinguishes it from reverse_geocode and other geospatial siblings. It uses a specific verb ('Convert') and resource ('address or place name') and outlines the output.

  Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

  Usage Guidelines4/5

  Does the description explain when to use this tool, when not to, or what alternatives exist?

  The description provides clear context by listing use cases (mapping, navigation, location-based analysis, input to other geospatial tools). It does not explicitly mention when not to use it or name alternatives, but the intended usage is evident.

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

• find_parking_facilitiesA
  4.6/5.0
  Behavior4/5

  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 key behavioral aspects: results can be filtered by parking type, capacity info is included 'where available,' and the return list includes fee structure and access restrictions with similar caveats. This sets appropriate expectations about data availability and result composition, though it does not discuss real-time nature or error handling. The transparency is adequate for a read-only search tool.

  Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

  Conciseness5/5

  Is the description appropriately sized, front-loaded, and free of redundancy?

  The description is well-structured with a purpose statement, usage context, an Args section, and a Returns section. Each part serves a purpose, especially given the lack of schema descriptions and output schema. It is front-loaded with the core function in the first sentence, and while longer than two sentences, it is appropriately sized for the information it must convey.

  Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

  Completeness5/5

  Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

  Given 4 parameters, no annotations, no output schema, and 0% schema description coverage, the description is remarkably complete. It explains the tool's purpose, parameter semantics, return structure, and typical use cases. It covers all essential details a caller would need to invoke the tool correctly and understand the response, making it a self-contained usage manual.

  Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

  Parameters5/5

  Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

  Schema description coverage is 0%, but the description's Args section compensates fully. It explains latitude/longitude as decimal degrees, radius in meters with the default '1000m/1km', and parking_type with examples like 'surface', 'underground', 'multi-storey'. This adds semantic meaning beyond the bare schema titles and defaults, making each parameter's purpose and format clear.

  Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

  Purpose5/5

  Does the description clearly state what the tool does and how it differs from similar tools?

  The description opens with 'Locate parking facilities near a specific location,' which uses a specific verb and resource. It clarifies the tool covers lots, garages, and street parking, distinguishing it from sibling tools like find_nearby_places (generic) and find_ev_charging_stations (EV-specific). The purpose is unambiguous and accurately reflected in the tool name.

  Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

  Usage Guidelines4/5

  Does the description explain when to use this tool, when not to, or what alternatives exist?

  The description states it is 'Useful for trip planning, city navigation, and evaluating parking availability in urban areas,' providing clear usage context. However, it does not explicitly compare to alternatives or state when not to use this tool, such as 'for generic place search, use find_nearby_places instead.' This places it at 4 per the rubric: clear context but no exclusions.

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

• find_schools_nearbyA
  4.6/5.0
  Behavior4/5

  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 explains the default radius, optional filtering, and the exact return structure (name, distance, education levels, contact info). It omits error handling and permission details, but for a read-only search tool, the described behavior is sufficiently transparent.

  Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

  Conciseness5/5

  Is the description appropriately sized, front-loaded, and free of redundancy?

  The description is appropriately sized and well-structured. It leads with a one-line summary, adds a brief context paragraph, then provides cleanly formatted Args and Returns sections. Every sentence earns its place, and the information is front-loaded for quick scanning.

  Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

  Completeness5/5

  Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

  For a 4-parameter tool with no annotations and no output schema, the description is remarkably complete. It covers the tool's purpose, target use case, all parameters with formats and defaults, and the return structure. Nothing essential is missing for an agent to invoke it correctly.

  Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

  Parameters5/5

  Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

  Despite 0% schema description coverage, the description explains every parameter in detail: latitude and longitude as decimal degrees, radius in meters with a default, and education_levels as an optional list with concrete examples. This fully compensates for the schema's lack of descriptions and adds crucial semantic meaning.

  Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

  Purpose5/5

  Does the description clearly state what the tool does and how it differs from similar tools?

  The description opens with 'Locate educational institutions near a specific location, filtered by education level' — a specific verb with a resource and constraints. It clearly distinguishes itself from generic siblings like find_nearby_places by focusing exclusively on schools and educational institutions.

  Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

  Usage Guidelines4/5

  Does the description explain when to use this tool, when not to, or what alternatives exist?

  The description positions the tool as a 'specialized search tool' and explicitly states its value for 'families evaluating neighborhoods or real estate purchases', giving strong usage context. It does not explicitly name alternatives or state when not to use it, but the niche is so well-defined that the guidance is effectively clear.

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

• search_categoryA
  4.6/5.0
  Behavior4/5

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

  No annotations are provided, so the description bears the full burden. It discloses the bounding-box search behavior, category-based filtering, and the return structure (count and list of places with coordinates, names, metadata). It does not explicitly state read-only semantics, but 'search' strongly implies no mutation, and no side effects are mentioned. It also doesn't discuss error cases, but for a read-only search this is adequate.

  Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

  Conciseness5/5

  Is the description appropriately sized, front-loaded, and free of redundancy?

  The description is well-organized with a one-sentence summary, a brief explanatory paragraph, and structured Args/Returns sections. It is front-loaded with the purpose and contains no redundant or filler text. Every sentence provides useful information.

  Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

  Completeness5/5

  Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

  Given the moderate complexity (6 parameters), no output schema, and no annotations, the description is complete for basic usage. It covers purpose, parameter semantics, and return values (query parameters, count, list of places with details). It omits edge cases like result limits or error handling, but these are not essential for an agent to invoke the tool correctly.

  Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

  Parameters5/5

  Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

  The schema has 0% description coverage, but the description's Args section fully compensates. Each parameter is explained: 'category' as main OSM category with examples, latitude/longitude as decimal degree boundaries, and 'subcategories' as an optional list with examples. This adds substantial meaning beyond the raw schema types.

  Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

  Purpose5/5

  Does the description clearly state what the tool does and how it differs from similar tools?

  The description clearly states the tool's purpose: 'Search for specific types of places within a defined geographic area.' It further elaborates as 'targeted searches for places matching specific categories within a rectangular geographic region,' specifying the verb (search), resource (places), and scope (geographic area). This distinguishes it from siblings like reverse_geocode or find_nearby_places.

  Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

  Usage Guidelines4/5

  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: 'particularly useful for filtering places by type within a neighborhood or city district.' However, it does not explicitly list alternative tools or exclusion criteria, though sibling tool names imply different use cases (e.g., find_nearby_places for proximity-based searches).

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

• suggest_meeting_pointA
  4.6/5.0
  Behavior4/5

  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 explains the calculation logic ('calculates a central meeting point based on the locations'), then venue recommendation, and lists return values (center coordinates, list of venues, total count). It does not mention edge cases or external service dependencies, but it provides a solid high-level behavioral overview without contradicting any annotations.

  Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

  Conciseness5/5

  Is the description appropriately sized, front-loaded, and free of redundancy?

  The description is well-structured with clear sections: an introductory summary, a use-case sentence, an 'Args' block, and a 'Returns' block. It is concise and front-loaded with the core purpose, with every sentence contributing useful information. No redundancy or filler.

  Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

  Completeness5/5

  Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

  The tool has no output schema, so the description correctly explains the return values (center point, suggested venues, total number). It also covers all parameters and the algorithm flow. Given the tool's moderate complexity and the absence of structured outputs, the description is sufficiently complete for an agent to select and invoke the tool correctly.

  Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

  Parameters5/5

  Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

  Schema description coverage is 0%, so the description fully compensates. It explains that 'locations' is a list of dictionaries with latitude and longitude, provides a concrete example, and clarifies 'venue_type' with typical options like 'cafe', 'restaurant'. This adds significant meaning beyond the bare schema, making it easy for an agent to construct valid inputs.

  Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

  Purpose5/5

  Does the description clearly state what the tool does and how it differs from similar tools?

  The description clearly states the tool's purpose: 'Find the optimal meeting place for multiple people coming from different locations.' It uses a specific verb ('find') and resource ('meeting place'), and explains the two-step process (calculate central point, then recommend venues). This distinguishes it from sibling tools like find_nearby_places or geocode_address, which handle single locations or simple searches.

  Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

  Usage Guidelines4/5

  Does the description explain when to use this tool, when not to, or what alternatives exist?

  The description provides clear usage context: 'Ideal for planning social gatherings, business meetings, or any situation where multiple people need to converge from different starting points.' This implies when to use the tool, but it does not explicitly mention alternatives or when not to use it. Since the siblings are not referenced, it misses explicit exclusions, so a 4 is appropriate.

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