MCP Server Framework
Server Quality Checklist
Latest release: v1.0.0
- Disambiguation4/5
Most tools have distinct purposes, but there is some overlap between time-related tools. get_current_time, get_timestamp, and parse_timestamp all handle time data, which could cause confusion about which to use for specific scenarios. However, their descriptions clarify their differences: get_current_time returns formatted UTC, get_timestamp returns Unix seconds, and parse_timestamp converts Unix to formatted. The echo variants are clearly distinct in their transformations.
Naming Consistency5/5All tool names follow a consistent snake_case pattern with clear verb_noun structures. Examples include echo_reverse, get_allowed_paths, list_directory, and parse_timestamp. There are no deviations in naming conventions, making the set predictable and easy to understand at a glance.
Tool Count4/5With 11 tools, the count is reasonable for a framework server, but it feels slightly over-scoped due to redundancy. The three echo tools and multiple time tools could potentially be consolidated without losing functionality. However, the number is within the typical 3-15 range and covers basic utility operations adequately.
Completeness3/5The server covers basic utility functions like echoing, time handling, and file operations, but there are notable gaps. For file operations, it provides get_file_info, list_directory, and read_file, but lacks write, delete, or update capabilities, which are common in file management. The time tools are comprehensive, but the overall domain of 'framework' is vague, making it hard to assess full coverage beyond these utilities.
Average 3.9/5 across 11 of 11 tools scored. Lowest: 3.1/5.
See the Tool Scores section below for per-tool breakdowns.
- No community issues in the last 6 months
- 0 commits in the last 12 weeks
- No stable releases found
- No critical vulnerability alerts
- No high-severity vulnerability alerts
- No code scanning findings
- CI status not available
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If the license does not appear after some time, you can manually trigger a new scan using the MCP server admin interface.
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This repository includes a README.md file.
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Tip: use the "Try in Browser" feature on the server page to seed initial usage.
Add a glama.json file to provide metadata about your server.
If you are the author, simply .
If the server belongs to an organization, first add
glama.jsonto the root of your repository:{ "$schema": "https://glama.ai/mcp/schemas/server.json", "maintainers": [ "your-github-username" ] }Then . Browse examples.
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To manually sync the server, click the "Sync Server" button in the MCP server admin interface.
How is the quality score calculated?
The overall quality score combines two components: Tool Definition Quality (70%) and Server Coherence (30%).
Tool Definition Quality measures how well each tool describes itself to AI agents. Every tool is scored 1–5 across six dimensions: Purpose Clarity (25%), Usage Guidelines (20%), Behavioral Transparency (20%), Parameter Semantics (15%), Conciseness & Structure (10%), and Contextual Completeness (10%). The server-level definition quality score is calculated as 60% mean TDQS + 40% minimum TDQS, so a single poorly described tool pulls the score down.
Server Coherence evaluates how well the tools work together as a set, scoring four dimensions equally: Disambiguation (can agents tell tools apart?), Naming Consistency, Tool Count Appropriateness, and Completeness (are there gaps in the tool surface?).
Tiers are derived from the overall score: A (≥3.5), B (≥3.0), C (≥2.0), D (≥1.0), F (<1.0). B and above is considered passing.
Tool Scores
- 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 the return value but doesn't describe key behaviors such as whether this requires specific permissions, if it's a read-only operation, potential rate limits, or what 'configured allowed paths' entails in practice. This leaves significant gaps for a tool that interacts with file system security settings.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is concise and well-structured with two sentences: one stating the purpose and another describing the return value. It's front-loaded with the main function and avoids unnecessary details. A perfect score is reserved for exceptional cases, but this is efficiently written.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given that there's an output schema (which handles return values), 0 parameters, and no annotations, the description is minimally complete. It states what the tool does and hints at the return, but for a tool dealing with file system paths (a potentially sensitive area), more context on behavior and usage would be beneficial to fully inform the agent.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has 0 parameters, and the input schema has 100% description coverage (though empty). The description doesn't need to explain any parameters, which is appropriate. It could potentially mention why no parameters are needed, but this isn't required for a high score given the lack of parameters.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does 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 ('Get') and resource ('list of allowed file system paths'), making it immediately understandable. However, it doesn't differentiate this tool from sibling tools like 'list_directory' or 'get_file_info', which also retrieve file system information, so it doesn't achieve the highest score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does 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. With sibling tools like 'list_directory' and 'get_file_info' that also interact with the file system, there's no indication of when this tool is preferred or what specific use cases it addresses, leaving the agent without contextual usage information.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- 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 the return value ('Human-readable time difference') but lacks details on format (e.g., days, hours), error handling (e.g., for invalid inputs), or performance traits. For a calculation tool with zero annotation coverage, this leaves significant gaps in understanding how it behaves beyond basic functionality.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is appropriately sized and front-loaded, starting with the core purpose in the first sentence. The Args and Returns sections are structured efficiently, with each sentence adding clear value. There is no redundant or verbose content, making it easy for an agent to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness3/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's low complexity (simple calculation), 2 parameters, and the presence of an output schema (which covers return values), the description is minimally adequate. It explains the purpose and parameters but lacks behavioral details like error cases or output examples. With no annotations, it should do more to be fully complete, but the output schema mitigates some gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds meaningful semantics beyond the input schema, which has 0% description coverage. It specifies that start_timestamp and end_timestamp are Unix timestamps, clarifying their format and purpose, which the schema only indicates as integers. With 2 parameters and low schema coverage, this compensation is effective, though it could detail units or validation rules.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose as 'Calculate the difference between two timestamps,' which is a specific verb (calculate) and resource (time difference). It distinguishes itself from siblings like get_current_time or get_timestamp, which provide single timestamps rather than calculating differences. However, it doesn't explicitly differentiate from parse_timestamp, which might also involve time calculations, keeping it from a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines2/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives. It doesn't mention scenarios like comparing dates, measuring durations, or contrast with siblings such as parse_timestamp for formatted time parsing. Without any usage context or exclusions, the agent must infer based on the purpose alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- 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 the tool echoes back the message and confirms receipt, which implies a read-only, non-destructive operation. However, it lacks details on error handling, rate limits, authentication needs, or any side effects, leaving behavioral gaps for a tool with no annotation support.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured and front-loaded with the core purpose, followed by clear sections for Args and Returns. 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.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (one parameter, no annotations, but with an output schema), the description is reasonably complete. It explains the purpose, parameter, and return value. The output schema likely covers return details, so the description doesn't need to elaborate further. However, it could improve by addressing sibling differentiation or behavioral nuances.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds meaningful context beyond the input schema. With 0% schema description coverage, the schema only defines 'message' as a required string. The description clarifies that this is 'The message to echo back,' providing semantic intent. Since there's only one parameter, this is sufficient, though not exhaustive (e.g., no format constraints).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Echo back the provided message.' This is a specific verb ('echo back') with a clear resource ('the provided message'), making the function obvious. However, it doesn't explicitly differentiate from siblings like echo_reverse or echo_uppercase, 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 Guidelines2/5Does 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. With siblings like echo_reverse and echo_uppercase available, there's no indication of when this simple echo is preferred over those modified versions, nor any context about prerequisites or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- 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 of behavioral disclosure. It adds useful context about the MCP_ALLOWED_PATHS requirement, which isn't obvious from the schema. However, it lacks details on potential errors, performance characteristics, or what specific information is returned (though an output schema exists), leaving gaps in behavioral understanding.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness4/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured and appropriately sized, with a clear purpose statement followed by prerequisites and parameter/return explanations. Every sentence adds value, and it's front-loaded with the core functionality. Minor improvements could include briefer phrasing, but it's efficient overall.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's moderate complexity (single parameter, no annotations, but with an output schema), the description is reasonably complete. It covers purpose, prerequisites, and parameter semantics. The existence of an output schema means return values don't need explanation, so the description focuses on necessary context without redundancy.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds meaningful context for the single parameter: 'path: Path to get info about.' Since schema description coverage is 0%, this compensates by clarifying the parameter's purpose. However, it doesn't specify format details (e.g., absolute vs. relative paths, supported file systems), which could enhance usability further.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Get information about a file or directory.' It uses a specific verb ('Get') and resource ('file or directory'), making the intent unambiguous. However, it doesn't explicitly distinguish this tool from sibling tools like 'list_directory' or 'read_file', which prevents a perfect score.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides some usage context by stating 'Requires MCP_ALLOWED_PATHS to be configured with permitted directories,' which implies a prerequisite. However, it doesn't offer explicit guidance on when to use this tool versus alternatives like 'list_directory' or 'read_file' from the sibling list, leaving the agent to infer appropriate usage scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- 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 of behavioral disclosure. It mentions the MCP_ALLOWED_PATHS requirement (important security context) and indicates it returns either formatted listings or error messages. However, it doesn't describe format details, pagination, sorting, or what happens with non-directory paths - leaving gaps for a mutation-free tool.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is perfectly structured and concise: purpose statement first, then prerequisite, then parameter documentation, then return information. Every sentence earns its place with no wasted words, and it's appropriately sized for a single-parameter tool.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's moderate complexity (directory listing with path restrictions), no annotations, and the presence of an output schema (which handles return value documentation), the description is reasonably complete. It covers purpose, prerequisites, parameters, and return outcomes. A 5 would require more behavioral details about listing format or edge cases.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema description coverage is 0%, so the description must compensate. It provides the single parameter 'path' with a clear semantic meaning ('Directory path to list'), which is valuable beyond the schema's basic type information. Since there's only one parameter and the description explains it adequately, this earns a 4 rather than 5 (which would require format examples or constraints).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose with 'List contents of a directory' - a specific verb ('List') and resource ('directory contents'). It distinguishes from siblings like 'read_file' (reads file content) and 'get_file_info' (gets metadata). 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 Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context about when to use this tool ('List contents of a directory') and includes an important prerequisite about MCP_ALLOWED_PATHS configuration. It doesn't explicitly mention when NOT to use it or name specific alternatives among the siblings, 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.
- Behavior3/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden. It clearly describes the core behavior (reversing characters), but doesn't disclose additional traits like error handling, performance characteristics, or side effects. The description is accurate but minimal.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is perfectly structured with a clear purpose statement followed by Args and Returns sections. Every sentence earns its place - no wasted words, front-loaded with the core functionality.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple single-parameter transformation tool with an output schema, the description is reasonably complete. It explains what the tool does, the parameter meaning, and the return value. However, it could benefit from more behavioral context given the lack of annotations.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage and only 1 parameter, the description compensates well by clearly explaining the 'message' parameter's purpose ('The message to reverse') and the return value semantics, adding meaningful context beyond the bare schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description explicitly states 'Echo back the message reversed' - a specific verb ('echo back') and resource ('message reversed'), clearly distinguishing it from siblings like 'echo' and 'echo_uppercase' by specifying the reversal operation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage context through the tool name and description, suggesting it's for reversing text messages, but provides no explicit guidance on when to use this versus alternatives like 'echo' or 'echo_uppercase', nor any prerequisites or exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- 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 effectively communicates: 1) the read-only nature (implied by 'Read'), 2) a security constraint (MCP_ALLOWED_PATHS requirement), 3) a performance/limitation behavior (max_lines default of 100), and 4) error handling (returns error message). This covers key behavioral aspects for a file reading operation.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is well-structured and appropriately sized. It begins with the core purpose, then provides prerequisite information, followed by clear parameter documentation, and finally return value information. Every sentence earns its place, with no redundant or unnecessary content. The formatting with clear sections enhances readability.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given that there's an output schema (though not shown here), the description doesn't need to fully explain return values. It provides sufficient context for a file reading operation: purpose, prerequisites, parameters, and basic return information. However, it could be more complete by mentioning encoding considerations or whether binary files are supported, which might be relevant for a file reading tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
With 0% schema description coverage, the description fully compensates by providing clear parameter documentation in the Args section. It explains both parameters: 'path' as 'File path to read' and 'max_lines' as 'Maximum number of lines to return (default: 100)'. This adds essential meaning beyond the bare schema, including the default value and purpose of each parameter.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose4/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose with 'Read contents of a text file' - a specific verb (read) and resource (text file). However, it doesn't distinguish this from sibling tools like 'get_file_info' or 'list_directory', which also work with files but serve different purposes. The description is clear but lacks sibling differentiation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides some usage context with 'Requires MCP_ALLOWED_PATHS to be configured with permitted directories' - this indicates a prerequisite condition. However, it doesn't explicitly state when to use this tool versus alternatives like 'get_file_info' (which might provide metadata without reading content) or 'list_directory' (which lists files rather than reading them). The guidance is implied rather than explicit.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- 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 basic behavior (transforming and echoing), but lacks details on error handling, performance, or other behavioral traits like rate limits or 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.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is appropriately sized and front-loaded, with a clear purpose statement followed by structured Args and Returns sections. Every sentence earns its place without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness4/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's low complexity, one parameter, and the presence of an output schema, the description is mostly complete. It explains the transformation and return value, but could benefit from more behavioral context given the lack of annotations.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds meaning beyond the input schema by explaining that the 'message' parameter is 'transformed and echoed', clarifying its purpose. With 0% schema description coverage and only one parameter, this compensates adequately, though it could specify format constraints.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific action ('Echo back the message in uppercase') and the resource ('message'), distinguishing it from siblings like 'echo' and 'echo_reverse' by specifying the uppercase transformation.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for transforming messages to uppercase, but does not explicitly state when to use this tool versus alternatives like 'echo' or 'echo_reverse'. It provides clear context for its purpose without exclusions.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- 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 clearly states the tool returns the current Unix timestamp in seconds since epoch, which is useful context beyond the input schema. However, it does not mention potential rate limits, error conditions, or system dependencies, leaving some behavioral aspects unspecified.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is 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 a clear 'Returns' section. Every sentence earns its place by adding value, with no redundant or verbose language. The structure is efficient and easy to parse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (0 parameters, no annotations, but has an output schema), the description is complete enough. It explains what the tool does and what it returns, and since an output schema exists, it does not need to detail return values further. The description adequately covers the tool's context without over-explaining.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters4/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has 0 parameters, and the input schema has 100% description coverage (though empty). The description does not need to compensate for any parameter gaps, and it appropriately focuses on the tool's function rather than inputs. A baseline of 4 is applied since no parameters are present.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the specific verb ('Get') and resource ('current Unix timestamp'), distinguishing it from siblings like 'get_current_time' (which might return a formatted time) and 'parse_timestamp' (which converts timestamps). The purpose is unambiguous and directly actionable.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for obtaining the current Unix timestamp, but does not explicitly state when to use this tool versus alternatives like 'get_current_time' or 'parse_timestamp'. No guidance is provided on exclusions or prerequisites, leaving usage context to inference.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- 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 key behavioral traits: the tool performs a conversion (not a read/write operation), outputs in UTC timezone, and returns a formatted string. However, it doesn't mention error handling for invalid timestamps or format strings, or performance characteristics.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is the description appropriately sized, front-loaded, and free of redundancy?
The description is appropriately sized and front-loaded with the core purpose in the first sentence. The Args and Returns sections are structured efficiently with no redundant information, making every sentence earn its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's low complexity (simple conversion), no annotations, and the presence of an output schema (implied by 'Returns' statement), the description is complete enough. It covers purpose, parameters, and return values adequately for this type of utility tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds significant meaning beyond the input schema, which has 0% description coverage. It explains that 'timestamp' represents 'Unix timestamp (seconds since epoch)' and 'format' is a 'strftime format string', including the default format in the schema. This fully compensates for the schema's lack of descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does 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 ('Convert') and resource ('Unix timestamp'), and distinguishes it from siblings like 'get_timestamp' (which likely retrieves current time) and 'get_current_time' by focusing on conversion rather than retrieval.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage context through parameter descriptions (e.g., 'Unix timestamp (seconds since epoch)'), but does not explicitly state when to use this tool versus alternatives like 'get_current_time' or 'time_difference'. However, the purpose is clear enough to infer appropriate usage scenarios.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
- 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 returns UTC time, uses strftime formatting, and has a default format. However, it does not mention potential limitations like system clock dependency or timezone handling beyond UTC.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5Is 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 clear sections for Args and Returns. Every sentence earns its place by providing essential information without redundancy or fluff.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's low complexity, one parameter with full description coverage, and the presence of an output schema (which handles return values), the description is complete enough. It covers purpose, parameter details, and return behavior adequately for this simple utility tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters5/5Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds significant meaning beyond the input schema, which has 0% coverage. It explains that the 'format' parameter is a 'strftime format string' with a specific default, clarifying syntax and usage that the schema alone does not provide, fully compensating for the low schema coverage.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5Does 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 ('Get') and resource ('current date and time in UTC'), distinguishing it from siblings like 'get_timestamp' or 'parse_timestamp' by focusing on real-time UTC retrieval rather than processing or conversion.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines4/5Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage for obtaining the current UTC time, but does not explicitly state when to use this tool versus alternatives like 'get_timestamp' or 'parse_timestamp'. It provides clear context but lacks explicit exclusions or comparisons to sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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