SentEdge Idea Machine

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

With no annotations, the description provides key behavioral traits: the exclusive buyout effect (delisting), the race condition ('first come, first served' and losing racer not charged), and the return type (payment instructions). It could be more explicit about failure modes or authorization needs, but it discloses the main behavioral implications.

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 three sentences with no redundancy: first sentence states core action, second adds concurrency detail, third clarifies return type. Every sentence adds value, and the most critical information is front-loaded.

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 (1 parameter, no output schema), the description covers all essential aspects: what it does, how to use it (slug), key behavioral notes (race, delisting, no charge on loss), and what to expect (payment instructions). Minor omissions like exact payment flow are reasonable for this scope.

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 single parameter 'slug' is described in the schema as 'Idea slug', which is self-explanatory given the context. Schema coverage is 100%, so the description adds no additional meaning beyond what the schema provides. Baseline 3 is appropriate.

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 ('Buy an idea outright'), the resource ('idea'), the price ($1.00 USDC), the method (via x402), and the effects (full markdown delivered, idea delisted). It distinguishes from siblings like get_full_idea (read-only) and how_to_pay (payment info).

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 when to use the tool (to purchase exclusivity) and notes the 'first come, first served' race condition. However, it lacks explicit guidance on when not to use it or direct comparison with alternatives like get_full_idea for non-exclusive access.

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 full burden. It discloses the non-destructive nature ('non-exclusive, the idea stays listed') and the payment requirement. However, it does not specify behavior on payment failure or rate limits, which is reasonable for a simple read tool.

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. First sentence states purpose, second covers payment and instructions. Very concise and front-loaded.

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 explains the payment flow but does not specify the output format or the two-step process (returns payment instructions, not idea directly). An output schema is absent, so the description could be more complete regarding the return value.

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%, with the only parameter 'slug' described as 'Idea slug'. The description adds no additional detail about the parameter, meeting the baseline of 3.

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 'Get' and resource 'complete idea markdown', and specifies it is non-exclusive, distinguishing it from siblings like 'buy_exclusive' and 'get_idea_teaser'.

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 on when to use the tool (to get the full idea) and includes payment instructions. It does not explicitly list when not to use it, but the sibling names imply alternatives.

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 adequately covers the tool's read-only nature and return fields but does not detail authentication or rate limits.

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 concise sentences; first lists contents, second gives usage. No wasted words.

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 low complexity (1 param, no output schema, no annotations), the description is complete enough, covering what the tool does and when to use it.

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%, so the description adds no extra meaning beyond the schema's parameter description. Baseline 3 is appropriate.

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 a 'free teaser for one idea' and lists specific contents (pitch, category, tags, score, sale status, paid endpoints), distinguishing it from siblings like get_full_idea.

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 says 'Use before deciding to pull or buy,' giving clear context for when to use the tool, though it doesn't explicitly exclude alternatives.

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, description fully explains behavior: returns a complete, unstripped idea identical to paid versions. Lists all included sections (debate log, pain evidence, etc.) and states it's free. No side effects or permissions noted, but adequate for a read-only sampling tool.

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, zero wasted words. First sentence enumerates deliverable content; second sentence states purpose ('Inspect the goods'). Front-loaded with key purpose: free full sample.

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, description fully informs the agent: returns a complete free idea with specific sections, identical to paid version. No gaps for this 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?

Input schema has zero parameters, so schema coverage is 100%. Description adds no parameter info (unnecessary) but compensates by detailing what the tool returns, adding value beyond the empty schema.

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?

Name and title clearly indicate a free sample of a full idea. Description specifies it delivers a complete idea with detailed sections (council note, debate log, etc.), distinguishing it from siblings like get_idea_teaser and get_full_idea.

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?

Explicitly states 'Free' and 'Inspect the goods before spending a cent,' implying use for previewing full ideas without payment. Context from sibling names clarifies when to use this vs teaser or paid versions, but lacks explicit when-not-to-use or alternatives.

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 the burden. It calls itself 'the complete guide', which implies a read-only, non-destructive behavior. While not explicitly stating side effects, the informational nature is evident.

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?

One sentence that is front-loaded with 'Free: the complete guide' and efficiently covers all key aspects with no superfluous words.

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 tool with no parameters and no output schema, the description fully captures its purpose and contents. No additional context is needed.

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?

With zero parameters, the description adds value by summarizing the content of the guide (pricing, flow, endpoints, clients), which is beyond the empty schema.

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 is a guide for buying Idea Machine ideas, covering pricing, x402 flow, endpoints, and clients. This distinguishes it from sibling tools that perform actions like buying or retrieving ideas.

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 description implies it is informational, but does not provide context or exclusions.

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 must convey behavioral traits. It states the tool lists ideas and includes specific output fields (status, prices, x402 endpoints). However, it does not disclose whether the operation is read-only, pagination behavior (despite having a 'limit' parameter), or any side effects. The description is adequate but not thorough for a tool without 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 consists of two concise sentences with no redundancy. The first sentence states the action and purpose, the second lists included data. Every word adds value, and the structure is front-loaded with the most critical 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 simple parameter set (2 optional params), no output schema, and no annotations, the description covers the tool's functionality well: it specifies what the tool returns and its scope. A minor gap is the lack of mention of pagination or that 'limit' controls page size (though implied), but overall it's sufficiently complete for a list operation.

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 covers both parameters ('limit' and 'status') with 100% description coverage, so the description adds no additional meaning. It mentions output fields but not parameter behavior or defaults. Baseline score of 3 is appropriate since the schema already documents both parameters sufficiently.

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 'List' and resource 'all Idea Machine ideas', immediately clarifying the tool's function. It explicitly distinguishes from sibling tools (e.g., buy_exclusive, get_full_idea) by stating it returns a list of ideas with status, prices, and x402 endpoints, leaving no ambiguity about its purpose.

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 browsing available/sold ideas but does not provide explicit when-to-use or when-not-to-use guidance. While the context of siblings suggests alternatives, the description itself lacks direct exclusions or comparisons, leaving the agent to infer appropriate scenarios from the tool name and sibling list.

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