creationloop

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

No annotations provided, so description carries burden. It states content is 'served verbatim from the site's canonical copy', implying read-only, static data. Lacks detailed behavioral traits like idempotency, caching, or required authentication.

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?

Two sentences, no fluff. Front-loaded with content scope. Every sentence adds value.

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 parameters and no output schema, the description adequately lists the topics covered. Could add note about return format (e.g., plain text or structured), but overall sufficient for a simple read 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?

No parameters exist (empty input schema, 100% coverage). Description does not need to add parameter meaning. Baseline 4 for zero-parameter tool.

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 specifies the exact content returned: what CreationLoop is, verification process, ledger proof, registry, and design-partner offer. It clearly distinguishes from siblings like get_design_partner_offer and get_faq.

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?

No explicit guidance on when to use this tool vs. alternatives. The context implies it for company overview, but no mention of when to prefer siblings like get_design_partner_offer.

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, the description carries the full burden. The statement 'Served verbatim from the site's canonical copy' adds useful context about the static, verbatim nature of the output, but it does not disclose other behavioral traits such as authentication needs or side effects, though the read-only nature is implied.

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 compact at two sentences and front-loads the main subject. The first sentence is slightly convoluted due to the 'ledger' clause, but overall it is efficient with no unnecessary redundancy.

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 content-retrieval tool with no parameters and no output schema, the description adequately conveys what content to expect and that it is served verbatim from a canonical source. It does not elaborate on the 'ledger' term, but this is a minor gap given the tool's simplicity.

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 no parameters, so the empty schema is fully self-explanatory. As the baseline for zero parameters is 4, the description does not need to add anything further.

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 identifies the resource as 'the current offer, which is the design partnership' and clarifies its scope, distinguishing it from siblings like get_faq and get_company_overview. However, it lacks an explicit verb (relying on the tool name 'get') and includes the ambiguous phrase 'what the ledger proves'.

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 gives no explicit guidance on when to use this tool versus alternatives. It mentions 'how to apply' but does not contrast with submit_design_partner_application, and there is no exclusions or prerequisite context.

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 provided, so description carries full burden. It mentions 'verbatim' but omits details like authentication needs, caching, or rate limits. Minimal behavioral disclosure.

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, to the point, no wasted words. Front-loaded with key 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?

No output schema, so description should clarify return format. 'Served verbatim' implies raw copy but does not specify structure (e.g., list of Q&A objects). Adequate but not comprehensive.

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?

No parameters exist, so baseline is 4. Description adds meaning by stating the output content (FAQs with verbatim answers), which is sufficient.

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 provides FAQs verbatim from the site. The resource 'FAQ' is specific and distinct from sibling tools like 'get_company_overview'.

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?

No explicit guidance on when to use this tool versus alternatives. The context implies it's for FAQ-related queries, but lacks when-not-to or prerequisites.

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. It discloses that the application is 'recorded' (a persistent side effect) and that 'our founder reviews every application and follows up by email' (a human workflow). This goes beyond the schema by explaining post-submission behavior, though it does not mention confirmation responses, reversibility, 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.

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

Two sentences, front-loaded with the primary purpose, then additional behavioral detail. Every sentence earns its place without redundancy or fluff. Excellent structure.

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 simple nature, the description adequately covers what happens (records application, founder review, email follow-up) and what is included. No output schema exists, so not detailing return values is acceptable. Minor gaps: no explicit mention that this is a write/creation action (though 'records' implies it) and no mention of expected response to the user.

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 baseline is 3. The description adds a small amount of extra meaning by calling 'website' a 'host' and indicating 'message' provides context for follow-up, but it mostly restates the schema fields without significantly deeper semantics.

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 opens with 'Apply to become a CreationLoop design partner,' which is a specific verb (apply) and resource (design partner application). It clearly distinguishes itself from the read-only sibling tools (get_company_overview, get_faq, etc.) by being the submission/action 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 gives clear context for when to use (applying to become a design partner) and describes the follow-up process. It does not explicitly name alternatives or state when not to use it, but the contrast with sibling get-tools is implicit through naming and purpose. A slight gap is the lack of an explicit 'use this instead of...' statement.

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