Server Quality Checklist

Tool Scores

• create_languageC
  2.9/5.0
  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 states this is a creation tool, implying a write operation, but does not cover permissions, side effects, error handling, or response format. For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

  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 concise and well-structured: a clear purpose statement followed by bullet points for parameters. It avoids unnecessary words and is front-loaded with the main action. However, it could be slightly more efficient by integrating parameter details more seamlessly.

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

  Completeness2/5

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

  Given that this is a mutation tool with no annotations and no output schema, the description is incomplete. It lacks information on behavioral traits (e.g., permissions, side effects), response format, and usage context relative to siblings. For a tool that creates resources, more contextual details are needed to be fully helpful.

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

  Parameters3/5

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

  Schema description coverage is 100%, so the schema already documents both parameters ('key' and 'name') with descriptions. The description adds minimal value by restating that 'key' is required and 'name' is optional, and provides examples (e.g., 'en, pl_PL'), but does not offer additional syntax or format details beyond the schema. Baseline 3 is appropriate when the schema does the heavy lifting.

  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 the tool's purpose: 'create a new language in your SimpleLocalize project.' It specifies the verb ('create') and resource ('language'), but does not differentiate it from sibling tools like 'get_languages' or 'create_tag' beyond the resource type. This makes it clear but not fully sibling-distinctive.

  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 guidance on when to use this tool versus alternatives. It does not mention sibling tools like 'get_languages' for checking existing languages or 'create_tag' for other creation tasks, nor does it specify prerequisites or exclusions. Usage is implied by the purpose but not explicitly stated.

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

• create_tagC
  2.9/5.0
  Behavior2/5

  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 states the tool creates a new tag, implying a write operation, but doesn't mention permissions, side effects, error handling, or response format. For a mutation tool with zero annotation coverage, this is insufficient transparency.

  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 concise with three sentences: purpose statement, parameter guidance, and benefit explanation. It's front-loaded with the main purpose. However, the bullet-point format for parameters is slightly redundant with the schema, and the last sentence about organizing keys could be more tightly integrated.

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

  Completeness2/5

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

  For a mutation tool with no annotations and no output schema, the description is incomplete. It doesn't explain what happens on success (e.g., returns tag ID), error conditions, or system constraints. Given the complexity of creating resources in a project management system, more behavioral context is needed.

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

  Parameters3/5

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

  Schema description coverage is 100%, so the schema already fully documents the two parameters (name and color). The description adds minimal value by restating that name must be unique and color should be in hex format, but doesn't provide additional semantics beyond what's in the schema. Baseline 3 is appropriate.

  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 the tool creates a new tag in a SimpleLocalize project, specifying the verb 'create' and resource 'tag'. It distinguishes from siblings like 'get_tags' or 'create_language' by focusing on tag creation. However, it doesn't explicitly contrast with all siblings, so it's not a perfect 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 guidance on when to use this tool versus alternatives. It mentions tags help organize translation keys, but doesn't specify prerequisites, when not to use it, or compare with sibling tools like 'get_tags' or 'create_translation_key_bulk'. This leaves the agent without contextual usage direction.

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

• get_translation_key_detailsC
  2.9/5.0
  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 mentions that the tool 'returns metadata such as description, codeDescription, tags, and charactersLimit,' which gives some insight into output behavior. However, it lacks details on error handling, authentication requirements, rate limits, or whether it's a read-only operation (implied but not stated). For a tool with no annotations, this is insufficient.

  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 concise and well-structured, using a bulleted list to highlight key points. It front-loads the purpose and efficiently covers parameters and return metadata without unnecessary verbosity. However, it could be slightly more polished in phrasing (e.g., 'This tool will return' vs. 'Returns').

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

  Completeness3/5

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

  Given the tool's moderate complexity (2 parameters, no output schema, no annotations), the description is partially complete. It explains the purpose and parameters adequately but lacks output details (only a partial list of metadata), error handling, and usage context. With no output schema, the description should ideally provide more comprehensive return value information.

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

  Parameters3/5

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

  Schema description coverage is 100%, with clear descriptions for both parameters ('key' and 'namespace'). The description adds minimal value beyond the schema by noting that 'key' is required and 'namespace' is optional, but does not provide additional context like format examples or usage scenarios. This meets the baseline of 3 when schema coverage is high.

  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 the tool's purpose: 'return details for a specific translation key in your SimpleLocalize project.' It specifies the resource (translation key) and verb (return details), but does not explicitly differentiate it from sibling tools like 'get_all_translation_keys' or 'get_translations', which is why it's a 4 rather than 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 guidance on when to use this tool versus alternatives. It does not mention sibling tools like 'get_all_translation_keys' (for listing all keys) or 'get_translations' (which might return translation values), nor does it specify prerequisites or exclusions. This lack of contextual guidance limits its utility for an AI agent.

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

• get_translationsC
  2.9/5.0
  Behavior2/5

  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 mentions pagination and sorting support, which is helpful, but fails to cover critical aspects: it doesn't specify if this is a read-only operation, what permissions are required, rate limits, or what the output format looks like (e.g., list structure, error handling). For a tool with 12 parameters and no annotations, this is a significant gap in transparency.

  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 and concise, using bullet points to highlight key features like filtering, pagination, and sorting. Each sentence adds value without redundancy. However, it could be slightly improved by front-loading the core purpose more prominently, but overall it's efficient and clear.

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

  Completeness2/5

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

  Given the complexity (12 parameters, no annotations, no output schema), the description is incomplete. It covers basic functionality but misses critical context: no output details, no error handling, no authentication or permission requirements, and no comparison to sibling tools. For a list operation with many filters, this leaves the agent under-informed about how to effectively use the tool.

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

  Parameters3/5

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

  The schema description coverage is 100%, meaning all parameters are documented in the schema itself. The description adds minimal value beyond this: it lists filterable fields (e.g., key, namespace) and mentions pagination/sorting, but doesn't provide additional syntax, examples, or constraints not already in the schema descriptions. This meets the baseline for high schema coverage, but doesn't enhance understanding significantly.

  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 the tool's purpose: 'list translations in your SimpleLocalize project.' It specifies the verb ('list') and resource ('translations'), making the action clear. However, it doesn't explicitly differentiate from sibling tools like 'get_all_translation_keys' or 'get_translation_key_details,' which reduces the score from a perfect 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 guidance on when to use this tool versus alternatives. It mentions filtering and pagination features but doesn't compare to sibling tools like 'get_all_translation_keys' or 'get_translation_key_details,' nor does it specify prerequisites or exclusions. This lack of contextual usage advice results in a low score.

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

• update_translation_keyB
  3.1/5.0
  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. It states this is an update operation, implying mutation, but doesn't disclose behavioral traits like required permissions, whether changes are reversible, rate limits, or what happens to existing data not mentioned. For a mutation tool with 10 parameters and no annotations, this is a significant gap in transparency.

  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 appropriately sized and front-loaded: the first sentence states the purpose clearly, followed by bullet points that efficiently outline identification and update parameters. There's no wasted text, but the structure could be slightly improved by explicitly separating identification vs. update steps for better clarity.

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

  Completeness2/5

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

  Given the complexity (10 parameters, mutation tool) and lack of annotations and output schema, the description is incomplete. It doesn't cover behavioral aspects like error handling, response format, or side effects. For a tool that modifies data in a project with multiple sibling tools, more context is needed to ensure safe and correct usage.

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

  Parameters3/5

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

  Schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds minimal value beyond the schema: it lists optional fields to update and provides examples of use cases (renaming keys, moving between namespaces). However, it doesn't add significant semantic context or syntax details not already in the schema descriptions, warranting the baseline score of 3.

  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 the tool's purpose: 'update a translation key (metadata and/or key/namespace) in your SimpleLocalize project.' It specifies the verb ('update'), resource ('translation key'), and scope ('metadata and/or key/namespace'). However, it doesn't explicitly differentiate from sibling tools like 'update_translations_bulk' or 'get_translation_key_details,' which would require 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 Guidelines3/5

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

  The description provides implied usage guidance: 'Use this to rename keys, move keys between namespaces, or update key metadata.' This gives context for when to use the tool but doesn't explicitly state when not to use it or name alternatives (e.g., vs. 'update_translations_bulk' for bulk updates or 'get_translation_key_details' for read-only access). 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.

• get_environment_detailsB
  3.2/5.0
  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 mentions retrieving details and checking hosting status, which implies a read-only operation, but doesn't clarify aspects like rate limits, authentication needs, error handling, or what specific details are returned. For a tool with no annotation coverage, this leaves significant behavioral gaps.

  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 appropriately sized and front-loaded: the first sentence states the core purpose, followed by bullet points for usage and parameter guidance. Each sentence adds value without redundancy, making it efficient and well-structured. It could be slightly more concise by integrating the bullet points into a single sentence, but it's generally effective.

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

  Completeness3/5

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

  Given the tool's low complexity (1 parameter, no nested objects) and high schema coverage, the description is somewhat complete but has gaps. No output schema exists, so the description doesn't explain return values (e.g., what details are retrieved), which is a notable omission. It covers basic usage but lacks depth for full contextual understanding.

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

  Parameters3/5

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

  The description adds minimal semantic value beyond the input schema. It specifies that 'environmentKey' is required and provides examples (e.g., '_latest', '_production', custom keys), but the schema already has 100% description coverage with similar details. Since schema coverage is high, the baseline is 3, and the description doesn't significantly enhance parameter understanding.

  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 the tool's purpose: 'retrieve hosting status/details for a specific environment in your SimpleLocalize project.' It specifies the verb ('retrieve') and resource ('hosting status/details for a specific environment'), making the purpose unambiguous. However, it doesn't explicitly differentiate from sibling tools like 'get_environments' (which likely lists environments rather than details for one), so it doesn't reach the highest clarity level.

  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?

  The description provides implied usage guidance: 'Use this to verify whether a given environment is available and check its hosting status.' This suggests when to use it (for checking availability and status) but doesn't explicitly state when not to use it or name alternatives like 'get_environments' for broader queries. It offers some context but lacks explicit exclusions or comparisons.

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

• update_translations_bulkB
  3.2/5.0
  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. It mentions 'update' (implying mutation) and 'max 100' items, but doesn't disclose critical behavioral traits: whether this requires specific permissions, if updates are reversible, what happens on partial failures, or rate limits. For a bulk mutation tool with zero annotation coverage, this is a significant gap.

  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 appropriately sized and front-loaded: the first sentence states the core purpose, followed by bullet points for key details. No wasted sentences, though the bullet points slightly repeat schema information. Overall efficient.

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

  Completeness3/5

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

  Given the tool's complexity (bulk mutation with no annotations and no output schema), the description is moderately complete. It covers the basic operation and parameter structure, but lacks behavioral context (e.g., error handling, permissions) and output details. For a mutation tool, this leaves gaps that could hinder agent usage.

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

  Parameters3/5

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

  Schema description coverage is 100%, so the schema already documents all parameters thoroughly. The description adds minimal value beyond the schema: it lists required and optional fields in the translation objects, but doesn't provide additional semantics like format examples or constraints beyond what's in the schema. Baseline 3 is appropriate when schema does the heavy lifting.

  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 the tool's purpose: 'update multiple translations in bulk in your SimpleLocalize project.' It specifies the verb ('update'), resource ('translations'), and scope ('bulk'). However, it doesn't explicitly distinguish this from sibling tools like 'update_translation_key' (singular) or 'create_translation_key_bulk' (creation vs. update).

  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?

  The description provides implied usage guidance: 'Use this for efficient mass updates.' This suggests it's for batch operations, but it doesn't explicitly state when to use this tool versus alternatives like 'update_translation_key' (for single updates) or 'create_translation_key_bulk' (for creation). No exclusions or prerequisites are mentioned.

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

• get_languagesA
  3.6/5.0
  Behavior3/5

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

  No annotations are provided, so the description carries the full burden. It mentions 'No parameters required' and that it lists languages, but doesn't disclose behavioral traits like whether it's read-only, pagination behavior, rate limits, or authentication needs. The description adds basic context but lacks comprehensive behavioral details.

  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 front-loaded: the first sentence states the purpose, followed by bullet points for key details. Every sentence earns its place with no wasted words, making it efficient and easy to parse.

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

  Completeness3/5

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

  Given the tool's low complexity (0 parameters, no output schema, no annotations), the description is adequate but has gaps. It explains what the tool does and that no parameters are needed, but lacks details on output format, error handling, or integration with sibling tools, leaving room for improvement in completeness.

  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 schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description explicitly states 'No parameters required,' which adds clarity beyond the empty schema, earning a baseline score above 3 for this context.

  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 the tool's purpose: 'list all languages configured in your SimpleLocalize project.' It specifies the verb ('list') and resource ('languages'), but doesn't explicitly differentiate from sibling tools like 'get_all_translation_keys' or 'get_translation_key_details' which operate on different resources.

  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?

  The description provides implied usage guidance: 'Use this to see available languages for translations.' However, it doesn't explicitly state when to use this tool versus alternatives like 'get_translations' or 'get_all_translation_keys', nor does it mention prerequisites or exclusions.

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

• publish_translationsA
  3.6/5.0
  Behavior3/5

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

  No annotations are provided, so the description carries the full burden. It discloses some behavioral traits: default environment usage, label restrictions, and the order of publishing. However, it lacks details on permissions needed, whether the operation is reversible, rate limits, or what happens on failure. For a mutation tool with no annotations, this is a moderate gap, but the provided context is better than minimal.

  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 appropriately sized with three bullet points that are front-loaded and efficient. Each sentence adds useful information without redundancy. However, the first sentence could be slightly more direct, and the bullet points might be condensed into a single paragraph for better flow, keeping it from a perfect 5.

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

  Completeness3/5

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

  Given the complexity (a mutation tool with no annotations and no output schema), the description is moderately complete. It covers the basic purpose, usage context, and some behavioral aspects, but lacks details on error handling, response format, or prerequisites. Without annotations or output schema, more guidance on what to expect after publishing would improve completeness.

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

  Parameters3/5

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

  Schema description coverage is 100%, so the schema already documents both parameters thoroughly. The description adds some value by reinforcing the default for 'environmentKey' and clarifying label restrictions, but it doesn't provide additional syntax or format details beyond what's in the schema. This meets the baseline of 3 when schema coverage is high.

  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 the tool's purpose: 'publish translations to the specified environment in your SimpleLocalize project.' It specifies the verb ('publish') and resource ('translations'), and distinguishes it from siblings like 'get_translations' or 'update_translations_bulk' by focusing on deployment rather than retrieval or editing. However, it doesn't explicitly differentiate from all siblings (e.g., 'create_translation_key_bulk' might also involve publishing), so it's not a perfect 5.

  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 the tool: when publishing translations to an environment, with default behavior if no environment is specified. It also mentions that labels are only applicable for the '_latest' environment, which helps guide usage. However, it doesn't explicitly state when NOT to use it or name alternatives among siblings (e.g., 'update_translations_bulk' might be a precursor), so it falls short of a 5.

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

• create_translation_key_bulkA
  4.1/5.0
  Behavior4/5

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

  With no annotations provided, the description carries full burden and does well by disclosing key behavioral traits: it handles up to 100 items, doesn't error on duplicates (returns failures list instead), and operates in bulk. It misses details like rate limits, idempotency, or response format specifics, but covers essential mutation behavior adequately.

  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 efficiently structured with a clear opening sentence followed by bullet points that add necessary details without redundancy. Every sentence earns its place by clarifying constraints and behavior, making it front-loaded and zero-waste.

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

  Completeness3/5

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

  For a mutation tool with no annotations and no output schema, the description is moderately complete: it covers the bulk nature, duplicate handling, and basic input structure. However, it lacks details on authentication, error responses, or what the 'failures list' contains, leaving gaps for an agent to invoke it correctly in all contexts.

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

  Parameters3/5

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

  Schema description coverage is 100%, so the schema fully documents the single parameter 'translationKeys' and its nested properties. The description adds minimal value beyond the schema, only reiterating the array structure and max limit. Baseline 3 is appropriate as the schema does the heavy lifting.

  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 specific action ('create multiple translation keys in bulk'), identifies the resource ('SimpleLocalize project'), and distinguishes from siblings like 'create_translation_key' (implied singular) and 'delete_translation_keys_bulk'. It explicitly mentions bulk creation versus individual operations.

  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 (bulk creation of up to 100 keys) and implicitly contrasts with non-bulk alternatives. However, it lacks explicit guidance on when NOT to use it (e.g., vs. 'update_translation_key' for existing keys) or prerequisites like authentication needs.

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

• get_all_translation_keysA
  4.1/5.0
  Behavior3/5

  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 the return format ('key and namespace only') and that it's a read operation ('fetch'), but doesn't mention pagination behavior, rate limits, authentication requirements, or what happens with large datasets. It adds some behavioral context but leaves important operational details unspecified.

  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 perfectly concise with three sentences: purpose statement, parameter information, and usage guidance. Every sentence earns its place with no redundancy or unnecessary elaboration.

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

  Completeness3/5

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

  For a read-only tool with no parameters and no output schema, the description provides adequate basic information but lacks details about return format structure, pagination, or error conditions. It's complete enough for basic understanding but leaves operational questions unanswered.

  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 description explicitly states 'No parameters required' and the input schema has 0 parameters with 100% coverage. This clear declaration adds value beyond the empty schema by confirming the tool's parameterless nature, though it doesn't need to explain any parameters.

  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 with specific verb ('return') and resource ('all translation keys (key and namespace only) in your SimpleLocalize project'). It distinguishes this from sibling tools like 'get_translation_key_details' (single key details) and 'get_translations' (actual translation values).

  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 ('quickly fetch all keys for reference or validation'), but doesn't explicitly state when NOT to use it or name specific alternatives. It implies this is for bulk key listing rather than detailed inspection, but lacks explicit exclusions.

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

• delete_translation_keys_bulkA
  4.2/5.0
  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 and does well by disclosing key behavioral traits: it specifies the bulk operation scope (min 1, max 100 keys), error handling ('doesn't throw an error if a key doesn't exist'), and output behavior ('returns failures list if any'). It could improve by mentioning potential side effects or permissions needed, but covers essential operational details.

  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 front-loaded, starting with the core purpose, followed by bullet points that efficiently cover key details without redundancy. Every sentence adds value, and the structure is clear and easy to parse, making it highly effective for quick understanding.

  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 (bulk deletion with error handling), no annotations, and no output schema, the description is largely complete: it explains the operation, parameters, and behavioral traits. It could be enhanced by detailing the output format (e.g., structure of 'failures list') or success criteria, but covers the essential context for safe and effective use.

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

  Parameters3/5

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

  Schema description coverage is 100%, so the schema fully documents the 'translationKeys' parameter, including its array structure, min/max items, and nested properties. The description adds minimal value beyond this, briefly mentioning the array and optional 'namespace', but doesn't provide additional semantic context like format examples or usage tips. Baseline 3 is appropriate as the schema does the heavy lifting.

  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 specific action ('delete translation keys in bulk') and resource ('SimpleLocalize project'), distinguishing it from sibling tools like 'create_translation_key_bulk' or 'update_translation_key'. It uses precise verbs and identifies the target resource without ambiguity.

  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 usage ('Use this to clean up unused keys efficiently'), indicating when to apply this tool. However, it doesn't explicitly state when not to use it or name specific alternatives among siblings, such as 'delete_translation_key' (if it exists) or 'update_translation_key' for modifications instead of deletions.

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

• get_environmentsA
  4.4/5.0
  Behavior4/5

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

  No annotations are provided, so the description carries the full burden. It discloses that the tool lists all environments, including built-in ones like '_latest' and '_production' and custom ones, which adds valuable context about what to expect in the return data. However, it does not mention behavioral aspects like pagination, rate limits, or authentication requirements.

  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 front-loaded, with a clear first sentence stating the purpose, followed by bullet points that efficiently provide additional details without unnecessary information. Every sentence earns its place by adding value.

  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 low complexity (0 parameters, no output schema), the description is mostly complete, covering purpose, parameters, and return content. However, it lacks details on output format (e.g., structure of returned environments) and any error handling, which could be useful for an agent, though not strictly required due to the simplicity.

  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 has 0 parameters with 100% coverage, so the schema fully documents the lack of parameters. The description explicitly states 'No parameters required,' which reinforces this and adds clarity, earning a score above the baseline of 3 for such reinforcement.

  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 with a specific verb ('list') and resource ('Translation Hosting environments available in your SimpleLocalize project'), and distinguishes it from sibling tools like 'get_environment_details' by indicating it returns all environments rather than details of a specific one.

  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 that this tool lists all environments, implying usage when a comprehensive overview is needed. However, it does not explicitly state when to use this versus alternatives like 'get_environment_details' or mention any exclusions, such as not being suitable for filtering or detailed queries.

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

• get_tagsA
  4.4/5.0
  Behavior3/5

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

  No annotations are provided, so the description carries the full burden. It states this is a list operation, implying it's read-only and non-destructive, but doesn't disclose behavioral traits like pagination, rate limits, authentication needs, or return format. The description adds basic context but lacks depth, scoring a 3 as minimally 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 front-loaded with the core purpose in the first sentence, followed by two bullet points that add essential details without waste. Every sentence earns its place, making it highly efficient and well-structured.

  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 low complexity (0 parameters, no output schema, no annotations), the description is reasonably complete. It covers purpose, usage, and parameter info, but lacks details on return values or behavioral constraints. For a simple list tool, this is sufficient but not exhaustive, warranting a 4.

  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 description explicitly states 'No parameters required,' which adds clarity beyond the input schema (which has no properties). With 0 parameters and 100% schema description coverage, the baseline is 4, and the description confirms this, providing useful reassurance.

  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 verb ('list') and resource ('all tags in your SimpleLocalize project'), making the purpose specific and unambiguous. It distinguishes this from sibling tools like 'create_tag' (which creates tags) and 'get_all_translation_keys' (which lists keys, not tags), providing clear differentiation.

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

  Usage Guidelines5/5

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

  The description explicitly states 'Use this to see available tags for categorizing translation keys,' providing clear context for when to use this tool. It implies an alternative use case compared to siblings like 'get_all_translation_keys' (for keys) or 'get_languages' (for languages), though it doesn't explicitly name exclusions, the guidance is sufficient for a 5.

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