Nexez Agentic Commerce

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

No annotations provided, so description must carry full burden. 'Browse' implies read-only but does not explicitly confirm safety, auth needs, or side effects. No behavioral traits disclosed beyond the action.

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 key information, no redundancy. Every part serves a purpose: verb, resource, optional filters.

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?

Description adequately covers purpose and filters but lacks essential context: no mention of output/return values (list? details?), pagination, sorting, or ordering. Given no output schema, this omission reduces 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?

With 0% schema description coverage, the description lists the four filter parameters (q, category, location, min_readiness), adding meaning over bare schema. However, it does not explain formats (e.g., query syntax, location format, readiness scale) beyond the enum for category.

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 'browse' and resource 'Nexez directory', and lists optional filters (category, query, readiness, location), distinguishing it from siblings like nexez_search (likely free-text search) and nexez_get_page (specific page 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?

No explicit guidance on when to use this tool versus siblings. Missing context on when to choose browsing over search or page retrieval, and no prerequisites or exclusions mentioned.

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 burden. It states what the tool fetches but does not disclose return format, error behavior, authentication requirements, or any side effects. This is minimally adequate but lacks depth.

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 superfluous words. Every element ('Fetch', 'listing', 'structured agent manifest', 'by slug') is meaningful and 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?

For a simple tool with one parameter and no output schema, the description is mostly complete. It explains what is fetched but could be more specific about the return format or that it returns a single manifest. The overall context is 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?

The schema already describes the single parameter 'slug' as 'Listing slug', and the description merely restates 'by slug' without adding new details. With 100% schema coverage, 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 uses a specific verb 'Fetch' and identifies the resource as a 'listing's full structured agent manifest' with concrete elements (seller profile, offers, actions) and the method 'by slug'. This clearly distinguishes it from siblings like nexez_directory or nexez_search, which imply different operations.

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 you need a manifest by slug but provides no explicit guidance on when to use this tool versus alternatives like nexez_search or nexez_directory. No exclusions or comparisons are mentioned.

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 behavioral traits but only states it returns ranked results. It omits whether the operation is read-only, requires authentication, or has rate limits, and does not explain ranking criteria 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?

Description is two sentences, front-loading the core purpose and output. Every word adds value with no redundancy, making it optimally concise.

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 complex tool with 13 parameters, no output schema, and no annotations, the description fails to provide essential context like output structure, filter usage, or ranking logic, making it nearly impossible for an agent to use correctly without additional knowledge.

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 only 23% (3 of 13 params have descriptions). The tool description does not compensate by explaining any parameters, leaving lat, lng, industry, verified, min_trust, etc. completely undocumented in both the schema and description.

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?

Description clearly states verb 'Search' and resource 'all Nexez merchants', differentiating from sibling tools like nexez_directory and nexez_get_page by its focus on query-based discovery. It also specifies the output: ranked listings with offers and agent.json URLs.

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 on when to use this tool versus alternatives. It does not mention scenarios where directory or page fetch would be more appropriate, leaving the agent without decision support.

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 full burden. It clearly states the tool is a dry-run that never charges, which is a key behavioral trait. However, it does not disclose what happens on validation failure, error handling, or rate limits. Still, the safety profile is well communicated.

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, information-dense sentence with zero wasted words. It front-loads the core purpose and key constraint ('Never charges').

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 validation tool with no output schema, the description omits the return type or expected outcome. It also fails to explain the 'slug' parameter. The tool's complexity is low, so the gaps are moderate but noticeable.

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 67% (offer and query have descriptions, slug does not). The description adds no parameter explanations beyond what the schema provides; crucially, 'slug' is left undefined. This does not compensate for the missing 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 performs a dry-run checkout validation, including specific aspects validated (offer, currency, payment readiness) and explicitly notes it never charges. This distinguishes it from actual payment tools and sibling tools like nexez_validate_negotiation.

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 use before paying but does not provide explicit when-to-use or when-not-to-use guidance, nor does it compare with sibling tools (e.g., nexez_validate_negotiation). No exclusions or alternatives are mentioned.

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 bears full responsibility for behavioral disclosure. It explicitly states 'Never writes', which is a critical behavioral trait. However, it does not mention prerequisites, authentication needs, rate limits, or any side effects beyond being a dry-run. The lack of details about the return format slightly reduces clarity.

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—two sentences that front-load the core purpose ('Dry-run a negotiation proposal') and immediately clarify the behavioral constraint ('Never writes'). Every word adds value, and the structure is optimal for quick understanding.

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 has 5 required/optional parameters and no output schema, the description is incomplete. It does not explain the parameters, their expected formats, or what the 'rules evaluation' output contains. The tool's medium complexity demands more detail to be fully actionable for an AI agent.

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 5 parameters with 0% description coverage, and the tool description provides no explanation of what parameters like 'slug', 'offer', 'query', 'budget', or 'timeline' mean or how they should be used. This leaves the agent with no semantic guidance beyond parameter names.

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 performs a dry-run validation of a negotiation proposal against seller rules, uses the verb 'dry-run', and distinguishes itself from sibling tools like validate_checkout by focusing on negotiation. It also explicitly says 'Never writes', clarifying its read-only nature.

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 indicates when to use the tool ('BEFORE submitting'), providing clear context for its use. However, it does not explicitly exclude use cases or name alternatives among sibling tools, leaving some ambiguity about when to choose this over validate_checkout or other tools.

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