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 communicates a write operation ('Create') and notes that description is optional, but it does not disclose duplicate-SKU behavior, persistence semantics, permissions, or what happens on invalid input.

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 with no filler. It states the action first and compacts the parameter list, including an optionality note, without 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?

Although an output schema exists and can cover return values, this is still a mutation tool with no annotations and no guidance on how it differs from add_product_smartly. It omits duplicate handling, failure behavior, and selection context, leaving an agent under-informed for correct 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?

Schema description coverage is 0%, so the description must compensate. It lists all five parameter names and marks description as optional but better to have, which is useful. However, it does not explain semantics such as SKU uniqueness, currency, or quantity constraints, so the compensation is only partial.

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 'Create a new product', a specific verb and resource, and enumerates the key fields. It clearly says what the tool does, but it does not differentiate itself from the sibling add_product_smartly, so it stops short of a 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?

There is no guidance about when to use this tool versus its siblings, especially add_product_smartly, which appears to be an alternate creation path. The description is purely declarative and provides no exclusions, prerequisites, or selection criteria.

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 behavioral burden, and it does disclose two important behaviors: generating a smart description when none is supplied and checking for existing products with the same SKU. However, it stops short of explaining what happens on a duplicate (error, no-op, update?) or whether AI generation is automatic, so the disclosure is incomplete.

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 short, front-loaded with the primary action, and contains no filler. The second sentence has a typo and redundant phrasing ('is description is missing... if missing'), which slightly reduces polish but does not obscure the meaning.

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 definition is too thin for a mutation tool with a same-purpose sibling and no annotations: it neither explains how to choose between add_product and add_product_smartly nor states the behavior when a duplicate SKU is encountered. The agent is left without the edge-case knowledge needed to call it correctly and interpret the outcome.

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%, so the description is the only source of parameter meaning. Yet it merely lists the parameter names and notes that description is optional; it adds no detail on formats, units, constraints, or subtle semantics beyond what a reader would infer from the names. The schema itself also lacks property descriptions, so nothing compensates.

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 ('Create a new product') and enumerates the accepted fields, which is specific and unambiguous. It also hints at its distinguishing behaviors—AI-generated description and duplicate-SKU prevention—which set it apart from the sibling add_product, though it never names that sibling explicitly.

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?

There is no explicit statement of when to use this tool versus add_product or any other sibling. The duplicate-check and AI-description behaviors imply use cases, but the description does not say 'use this when...' or describe an exclusion criterion, leaving the agent to guess which creation tool is appropriate.

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 states the operation and return value, but does not mention potential side effects, irreversibility, error behavior for non-existent IDs, or any authorization 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?

The description is short and front-loaded, clearly stating the action and the parameter. The return value is mentioned efficiently. No unnecessary filler is present, though the phrasing 'ID(number)' is slightly redundant.

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 one-parameter deletion tool, the description covers the core action, the required input, and the return behavior. However, because there are no annotations, a brief note about the destructive nature or behavior when the ID is not found would improve completeness.

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%, so the description must compensate. It only restates that 'id' is a unique ID number, adding little beyond the schema's integer type and exclusiveMinimum constraint. It does not clarify where the ID comes from or how it should be obtained.

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 ('Delete') and resource ('a product') and identifies the exact method (by unique ID). It is clearly distinct from sibling tools like add_product, get_product_by_id, and update_product.

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 guidance is given on when to use this tool versus alternatives, nor when not to use it. The intended use is implied by the name and description, but the tool does not explicitly differentiate itself or mention 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, the description carries the full burden of behavioral disclosure. It indicates a read operation ('fetch') but does not mention error handling (e.g., behavior when ID not found), permissions, or response format. For a simple getter this may be acceptable, but it adds no context beyond the operation itself.

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 with no filler. Every word earns its place, and the description is appropriately sized for a simple getter tool.

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 required param, output schema present), the description states the core operation. However, it lacks usage context and error behavior, which would be helpful given the absence of annotations. It is minimally complete but not thorough beyond the essential purpose.

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 already defines the id parameter as an integer greater than zero. The description's 'ID(number)' essentially restates the schema type and adds minimal semantic value. With 0% schema description coverage, the description should compensate by clarifying what the ID refers to (e.g., product SKU or database ID) or any uniqueness constraints, 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 fetches product details by unique numeric ID. It is a specific read operation that is distinct from the sibling tools (add_product, delete_product, update_product, add_product_smartly), which are all write operations. The verb 'fetch' and resource 'product details' are unambiguous.

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 is provided on when to use this tool versus the siblings. The intended use is implied by the read-only nature, but the description does not mention alternatives or exclusions, leaving it to the agent to infer based solely on the name and description.

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 must disclose behavior. It states the operation is an update (implying mutation) but does not mention side effects, required permissions, validation behavior, or partial update semantics. Also, it misleadingly marks description as 'optional but better to have' without explaining why better, which is vague.

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 sentence that is somewhat long and has repetition ('with with' typo). It front-loads the mandatory id and lists optional fields, but could be more concise 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 parameter count, schema coverage, and output schema, the description covers the basics but lacks critical behavioral context (e.g., what response to expect, validation rules, idempotency). For a mutation tool with 6 params and no annotations, more detail is expected.

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 0%, so the description must compensate. It lists all parameters and states optionality, adding some value over the schema (e.g., description 'better to have'). However, it lacks details on format, constraints, or interplay between parameters.

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 updates an existing product and lists the fields that can be modified, with the id as mandatory. It distinguishes from sibling 'add_product' and 'delete_product' by focusing on update, but does not explicitly differentiate from 'add_product_smartly' or 'get_product_by_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?

It implies usage (update when you have an existing product id), but does not explicitly state when to use it over alternatives like add_product_smartly or get_product_by_id. No exclusions or prerequisites are mentioned.

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