AI SENSE Free Public Tools

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

The description adds the key behavioral detail that the operation creates a temporary form and returns two URLs, going beyond the annotations which only indicate non-read-only. It does not mention expiration or cleanup, but the temporary nature is disclosed.

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?

A single sentence that is front-loaded with the verb and specifies the outputs. Every word contributes, no fluff.

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 simplicity, the description covers the main behavior and output. The output schema fills in return details, and sibling read_human_approval implies the workflow. However, it lacks guidance on parameter usage, which is accounted for in parameter semantics.

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 0% and the description provides zero information about the parameters (title, options, allow_note, description). The names and defaults in the schema are all the agent has, but the description does not compensate for the lack of parameter descriptions.

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 uses a specific verb ('Create') and resource ('temporary approval form'), and specifies what it returns (URLs for person and agent), clearly distinguishing it from sibling read_human_approval and store_temporary_data.

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 for requesting human approval but does not explicitly state when to use this tool over alternatives like read_human_approval or store_temporary_data. No exclusions or when-not-to-use guidance is provided.

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?

The annotations (readOnlyHint: false, openWorldHint: true) already indicate this is a mutating operation. The description adds meaningful behavioral context: the URL is temporary, and it captures only the next HTTP request. This goes beyond annotations but does not detail expiration, response format, 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.

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

The description is a single, front-loaded sentence that is direct and free of fluff. Every word contributes to understanding the tool's purpose and behavior.

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 simplicity of the tool (no parameters, no nested objects) and the presence of an output schema, the description is functionally complete. It could optionally mention how long the URL remains valid or what happens after capture, but this is a minor gap in an otherwise simple tool.

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?

There are zero parameters and the schema description coverage is 100%, so the description need not explain parameters. The baseline for 0 parameters is 4, and the description does not introduce any ambiguity.

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 'Create' and the resource 'temporary URL', with a precise behavioral scope ('captures the next HTTP request sent to it'). This distinguishes it from sibling tools like read_webhook_capture, which presumably retrieves the captured request.

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 the use case (creating a temporary URL for capturing exactly one HTTP request), but it does not explicitly state when to use this versus alternatives, nor does it mention any prerequisites or exclusions. It provides clear context but lacks explicit alternative guidance.

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?

Annotations already declare readOnlyHint=true, and the description adds the specificity of 'random' and 'version 4', which are behavioral details not captured by annotations. No contradictions.

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?

Single sentence, front-loaded with the action, and no redundant information.

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 trivial complexity (no inputs, simple output), the description fully specifies behavior. The presence of an output schema means return details are already structured.

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?

Tool has zero parameters, so the schema is empty and the description needs no parameter explanation. Baseline 4 applies as there is no parameter ambiguity.

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 'Generate a random UUID version 4' states a specific verb (generate) and resource (UUID version 4), clearly distinguishing it from sibling tools which handle approvals, time, data storage, and URL shortening.

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 clear context (generating a UUID v4) but does not explicitly state when to use it over alternatives. However, no sibling tool has overlapping functionality, and the use case is self-evident.

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?

Annotations already declare readOnlyHint and idempotentHint, so the safety profile is known. The description adds the behavioral trait that the time is timezone-specific and includes the Unix timestamp, which is helpful beyond the annotations. No contradiction with 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, clear, front-loaded sentence that states the purpose without excessive detail. Every word contributes to understanding the tool's function.

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

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

For a simple read-only tool with complete schema documentation and an output schema, the description sufficiently covers the tool's purpose and behavior. No additional context is necessary.

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 covers 100% of the parameter descriptions, including details about IANA timezone or UTC offset. The description only mirrors 'for a timezone' without adding new meaning beyond the schema, so it meets the baseline expectation 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 uses a specific verb 'Get' and identifies the resource (current date, time, and Unix timestamp) and the scope (for a timezone). It clearly distinguishes this tool from its siblings, none of which relate to time retrieval.

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 for retrieving the current time in a specified timezone, which is clear from context. However, it does not explicitly state when to prefer this tool over alternatives or provide exclusion criteria, though no alternative time tool exists among siblings.

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?

Annotations already declare readOnlyHint and idempotentHint, and the description is consistent with these. The description adds no new behavioral details (e.g., behavior when no answer is available), but with annotations covering the safety profile, the description is adequate.

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

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

The description is a single concise sentence that is front-loaded and contains no filler. Every word contributes to the stated purpose.

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?

The tool is simple with one required parameter and has an output schema, so the description need not explain return values. However, it lacks explicit guidance on the source of the action_id or what happens if no answer exists, making it slightly 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?

Schema description coverage is 0%; the description never mentions 'action_id' or explains its origin/meaning beyond the schema's name, type, and required flag. For a low-coverage case, the description should compensate, but it does not.

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 function: checking whether a person answered an approval request and reading the answer. It uses specific verbs and a resource ('approval request') and naturally differentiates from the sibling tool 'create_human_approval'.

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 the usage context: after an approval request has been sent, this tool reads the answer. However, it does not explicitly state when not to use the tool or mention alternative tools, though the context is clear.

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?

Annotations already declare readOnlyHint=true and idempotentHint=true, so the safe read-only nature is covered. The description adds that the data is JSON and comes from the temporary storage tool, which is mild extra context, but it does not disclose behavior such as return values for missing IDs, data expiry, or error conditions. The bar is lower due to annotations, so this is adequate but not rich.

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 one short sentence (10 words), front-loaded with the verb 'Read' and the resource. It contains no filler or redundant information, making it exceptionally concise while still conveying the core function.

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

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

For a simple read tool with one parameter, an output schema, and safe annotations, the description is minimally sufficient. However, it omits the crucial detail that storage_id is likely obtained from store_temporary_data, and it does not mention edge cases like missing IDs or data expiration. Given the presence of an output schema, this is acceptable but leaves room for improvement.

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 0% description coverage, so the description must compensate for explaining the parameter. It does not mention storage_id at all, nor how it is obtained (e.g., from store_temporary_data). The description adds no meaning beyond the schema field name and type, leaving the agent to infer the parameter's purpose.

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 uses the specific verb 'Read' and identifies a clear resource: 'JSON data stored by the temporary storage tool.' This distinguishes it from sibling read tools like read_human_approval and read_webhook_capture. The scope is clearly defined, and the name aligns exactly with the description.

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 as the read counterpart to store_temporary_data, but it does not explicitly state when to use this tool over alternatives or provide any exclusions. There is no mention of when not to use it, though the context of 'temporary storage' makes the intended use reasonably clear.

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?

Annotations already declare readOnlyHint=true and idempotentHint=true, which convey the safety and idempotence profile. The description adds no further behavioral details (e.g., what happens if the capture_id does not exist, response format, or required auth). It is consistent with annotations, so not contradictory, but adds minimal beyond what annotations already provide.

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, concise sentence that directly conveys the tool's function. There is no unnecessary verbiage or repetition, and it is appropriately front-loaded with the core action.

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 simplicity (one param, one action) and the presence of an output schema, the description is reasonably complete for expected return values. However, it lacks contextual information such as the relationship to create_webhook_capture or any edge-case behavior, leaving minor gaps for an agent discovering the tool.

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 one parameter (capture_id) with no description, resulting in 0% schema description coverage. The description does not explain what capture_id refers to or how to obtain it, forcing the agent to infer its meaning from the tool name. It adds no semantic value beyond the parameter name itself.

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: 'Read the HTTP request received by a webhook capture URL.' This uses a specific verb ('read') and resource ('webhook capture'), and it distinguishes from sibling tools like read_human_approval or read_temporary_data. The name and description align perfectly.

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 offers no guidance on when to use this tool versus alternatives, nor does it mention any prerequisites (e.g., that a capture must first be created via create_webhook_capture). It simply states what the tool does without any contextual or exclusionary instructions.

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?

Annotations are all false, providing minimal behavioral information. The description adds meaningful context beyond annotations by disclosing the 24-hour availability (expiry) and the specific domain (307.fi). It does not contradict any annotations and avoids harmful ambiguity.

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, well-structured sentence that states the purpose and the key temporal constraint. There is no redundant verbiage or unnecessary detail; every phrase earns its place.

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?

The tool is simple with one parameter and an output schema, so the description plus schema cover the essential use case. The 24-hour expiry and the act of creating a short URL are clear. Minor gaps like rate limiting or public accessibility are not critical for successful invocation.

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 provides a complete description of the only parameter (long_url: HTTP or HTTPS URL to shorten) with 100% coverage. The tool description does not need to add further parameter details, so the baseline score of 3 applies.

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 uses a specific verb ('Create') and clearly identifies the resource ('a short 307.fi URL') along with a key attribute ('remains available for 24 hours'). This differentiates it from sibling creation tools like create_human_approval or create_webhook_capture.

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 the tool is for shortening long URLs into temporary (24-hour) 307.fi links, which gives a sense of when to use it. However, it does not explicitly state when not to use it or mention any alternative tools, so the guidance is merely implicit.

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?

Beyond the annotations (which indicate non-read-only, non-idempotent, non-destructive), the description adds valuable behavior: the 24-hour retention period and the fact that it returns an ID for other tools/systems to read. This goes beyond the metadata.

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?

A single, front-loaded sentence conveys the action, retention, and return value without any fluff or repetition.

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?

The description covers essential aspects for a simple store tool: what is stored, how long, and what is returned. The output schema likely captures the ID, and annotations already cover the side-effect profile, making this sufficient.

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 coverage is 100%, and the schema already describes 'data' as any JSON value. The description does not add additional parameter details, so the baseline of 3 applies.

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 stores JSON data for 24 hours and returns an ID for later retrieval, with a specific action and resource. It implicitly differentiates from the sibling read_temporary_data by mentioning the returned ID.

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 conveys that the tool is for temporary data storage with a 24-hour retention, which implies its use case. However, it does not explicitly specify when not to use it or directly name alternatives like read_temporary_data, leaving a small gap.

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