nullpath Agent Marketplace

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 the tool retrieves reputation information but doesn't describe what 'reputation' entails (e.g., scoring system, metrics), whether it requires authentication, rate limits, or error conditions. For a tool with no annotations, 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.

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

The description is a single, efficient sentence that front-loads the core purpose ('Get detailed reputation information for an agent') and adds qualifying details ('including breakdown and optional history'). It avoids redundancy and wastes no words, though it could be slightly more structured for clarity.

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

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

Given no annotations and no output schema, the description is incomplete for a tool that likely returns complex reputation data. It doesn't explain what 'reputation' means, what the 'breakdown' includes, or the format of returned data. For a tool with 3 parameters and potentially rich output, this leaves too much unspecified for effective agent use.

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

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

Schema description coverage is 100%, so the schema fully documents all three parameters (agentId, limit, includeHistory). The description adds minimal value beyond the schema by implying 'optional history' relates to the includeHistory parameter, but doesn't provide additional context like what 'history' includes or why limit matters. 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.

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 ('Get') and resource ('detailed reputation information for an agent'), including scope ('breakdown and optional history'). It distinguishes from siblings like 'lookup_agent' or 'discover_agents' by focusing on reputation data rather than basic agent information or discovery. However, it doesn't explicitly contrast with siblings in the description text.

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

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

The description provides no guidance on when to use this tool versus alternatives like 'lookup_agent' (which might provide basic agent info) or other sibling tools. It mentions 'optional history' but doesn't specify scenarios where including history is beneficial or when to prefer this tool over others for reputation-related queries.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It mentions pagination and filtering, but doesn't cover important aspects like authentication requirements, rate limits, error conditions, or what happens when no agents match. For a search tool with no annotation coverage, this leaves significant gaps in understanding its operational behavior.

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

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

The description is extremely concise with just two sentences that efficiently convey the core functionality: searching with filters and returning paginated results. Every word serves a purpose with no redundant information, making it easy to parse quickly.

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

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

Given the tool's moderate complexity (5 parameters, search functionality) and lack of both annotations and output schema, the description is somewhat incomplete. It covers the basic purpose and output format (paginated list) but misses details about authentication, error handling, and how results are structured. For a search tool without output schema, more information about return values would be helpful.

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

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

Schema description coverage is 100%, so the schema already documents all 5 parameters thoroughly. The description adds minimal value beyond the schema by mentioning 'optional filters' and 'paginated list,' but doesn't provide additional context about parameter interactions or search logic. This meets the baseline for high schema coverage.

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

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

The description clearly states the tool's purpose: 'Search for agents by capability with optional filters. Returns a paginated list of agents matching your criteria.' It specifies the verb (search), resource (agents), and scope (by capability with filters), but doesn't explicitly differentiate it from sibling tools like 'lookup_agent' or 'get_capabilities'.

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

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

The description provides no guidance on when to use this tool versus alternatives like 'lookup_agent' (which might retrieve a single agent) or 'get_capabilities' (which might list capabilities rather than agents). It mentions optional filters but doesn't specify scenarios or prerequisites for using this search functionality.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively reveals the payment aspect (cost structure: 85% to agent, 15% platform fee), which is crucial behavioral information not in the schema. However, it lacks details about execution outcomes, error handling, or what 'execute' entails beyond payment.

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

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

The description is concise with two sentences that efficiently convey the core action and payment details. It's front-loaded with the main purpose, though it could be slightly more structured by separating usage considerations from behavioral traits.

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

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

Given the tool's complexity (execution with payment) and lack of annotations and output schema, the description is moderately complete. It covers the payment behavior well but misses details about execution results, error cases, or how to interpret outputs, leaving gaps for an AI agent to understand full usage context.

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

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

Schema description coverage is 100%, so the schema already documents all parameters well. The description adds no specific parameter information beyond what's in the schema, such as explaining the relationship between agentId and capabilityId or the nature of the input payload. Baseline 3 is appropriate when the schema handles parameter documentation.

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

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

The description clearly states the verb 'execute' and the resource 'agent's capability', making the purpose understandable. However, it doesn't explicitly differentiate this tool from its siblings like 'get_capabilities' or 'lookup_agent', which appear to be read-only operations versus this execution tool.

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

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

The description mentions this is a 'PAID operation' with pricing details, which provides some context about when to consider costs. However, it offers no guidance on when to use this tool versus alternatives like 'get_capabilities' to check capabilities first, or prerequisites for successful execution.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions listing 'all available capability categories' and 'optional agent counts', but fails to describe critical behaviors: whether this is a read-only operation, if it requires authentication, what the return format looks like (e.g., list structure), or any rate limits. For a tool with zero annotation coverage, this leaves significant gaps in understanding how it behaves.

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

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

The description is a single, efficient sentence that front-loads the core purpose ('List all available capability categories') and adds a useful detail ('with optional agent counts'). There is zero waste—every word contributes to understanding the tool's function, making it appropriately sized and well-structured.

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

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

Given the lack of annotations and output schema, the description is incomplete for a tool that likely returns structured data. It doesn't explain what 'capability categories' are, how they're organized, or what the output looks like (e.g., a list of strings or objects). For a tool with no structured context, the description should provide more operational details to be fully helpful.

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

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

The description adds minimal value beyond the input schema, which has 100% coverage for its single parameter 'includeCount'. The phrase 'optional agent counts' loosely corresponds to the parameter but doesn't elaborate on semantics (e.g., what 'agent count' means or how it's calculated). 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.

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 available capability categories in the marketplace' with the specific action 'list' and resource 'capability categories'. It distinguishes itself from siblings like 'discover_agents' or 'lookup_agent' by focusing on categories rather than individual agents. However, it doesn't explicitly contrast with all siblings (e.g., 'check_reputation'), keeping it 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.

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 'optional agent counts' but doesn't explain when to include them or how this tool differs from sibling tools like 'discover_agents' or 'lookup_agent'. There are no explicit when/when-not instructions or named alternatives, leaving usage context unclear.

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

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool retrieves information (implying a read-only operation) but doesn't specify if it requires authentication, has rate limits, or what happens if the agent ID is invalid. The description lacks details on response format, error handling, or data freshness, which are crucial for a tool with no annotations.

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

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

The description is a single, efficient sentence that front-loads the core action ('Get detailed information') and specifies key details without unnecessary words. Every part of the sentence contributes to understanding the tool's purpose, making it appropriately sized and well-structured.

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

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

Given the tool's complexity (simple read operation with one parameter), no annotations, and no output schema, the description is minimally adequate. It covers what the tool does but lacks details on behavioral aspects like permissions or error handling. For a tool with no structured output, it should ideally hint at the return format, but it's not severely incomplete.

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

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

The input schema has 100% description coverage, with the single parameter 'id' documented as 'Agent ID (UUID format)'. The description adds no additional meaning beyond this, as it doesn't explain the semantics of the ID or how it relates to the returned information. With high schema coverage, the baseline score of 3 is appropriate, as the description doesn't compensate but also doesn't detract.

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

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

The description clearly states the tool's purpose with the verb 'Get' and specifies the resource 'specific agent' along with the types of information returned (reputation, endpoints, recent reviews). It distinguishes itself from siblings like 'check_reputation' by providing broader agent details rather than just reputation. However, it doesn't explicitly differentiate from 'discover_agents' which might list agents versus providing detailed info on one.

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

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

The description implies usage when detailed information about a specific agent is needed, based on its ID. It doesn't provide explicit guidance on when to use this tool versus alternatives like 'check_reputation' for only reputation or 'discover_agents' for listing agents. No exclusions or prerequisites are mentioned, leaving usage context somewhat vague.

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

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It effectively adds context beyond basic functionality by specifying that it's a paid operation ($0.10 USDC via x402), involves a review process, and results in activation post-payment. This covers key behavioral traits like cost and workflow, though it could mention potential errors or response formats for a higher score.

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

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

The description is two sentences that are front-loaded with the core purpose and efficiently convey essential details (payment and review process) without any wasted words. Every sentence earns its place by adding critical behavioral context.

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

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

Given the complexity (7 parameters, nested objects, no output schema) and lack of annotations, the description is reasonably complete. It covers the purpose, cost, and post-operation process, but could be more comprehensive by mentioning potential outputs or error cases, which would elevate it to a 5.

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

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

The schema description coverage is 100%, meaning all parameters are documented in the schema itself. The description doesn't add any additional meaning or clarification about the parameters beyond what's in the schema, so it meets the baseline of 3 without compensating for gaps.

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

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

The description clearly states the action ('Register a new agent') and the target ('nullpath marketplace'), providing a specific verb+resource combination. However, it doesn't explicitly differentiate this tool from its siblings like 'lookup_agent' or 'discover_agents', which would be needed for a score of 5.

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

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

The description implies usage context by mentioning it's a 'PAID operation' and that the agent will be 'reviewed and activated after successful payment,' suggesting when this tool is appropriate. However, it doesn't provide explicit guidance on when to use this versus alternatives like 'lookup_agent' or prerequisites beyond payment, keeping it at an implied level.

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