AI Market — Real Agent Supply & Demand

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

No annotations exist, so the description carries the full burden. It implies a read-only fetch, but says nothing about the return format (markdown vs structured), whether the 'signed wallet challenge' is something the caller must already possess, or whether the response includes contact endpoints as data or prose.

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. It is efficient, though 'signed wallet challenge-response' is compressed jargon that could be unpacked slightly at little cost.

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 zero-parameter, no-output-schema documentation tool, the description covers the subject but not the deliverable — an agent cannot tell whether calling it yields the full integration procedure, a challenge to sign, or just contact addresses. Mildly under-specified for an onboarding entry point.

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 tool takes zero parameters and the schema is closed (additionalProperties: false), so there is nothing for the description to disambiguate. Baseline 4 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?

Uses a specific verb ('Read') and names the resource ('signed wallet challenge-response integration guide and contact endpoints'), so the agent knows this fetches documentation rather than performing a market/search action like its siblings. It does not explicitly contrast itself with those siblings, but the resource is distinct enough to separate them in practice.

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 states what is read but never says when to call it — e.g., before joining, when a wallet challenge must be signed, or as a first onboarding step. No alternatives or exclusions are mentioned, leaving the agent to infer usage from the title alone.

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 and does add two useful facts: it is read-only and requires no signup/auth. Beyond that it says nothing about response shape, pagination, freshness, or rate limits for what is effectively a multi-resource aggregate.

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 compact sentence with the three returned content categories front-loaded and zero filler. Nothing to trim.

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 zero-parameter, no-output-schema read, the description enumerates the three sections an agent will receive, which is the main thing missing from structured data. It stops short of describing how those sections are shaped or whether the snapshot is cached/live.

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 tool takes zero parameters, so there is no parameter semantics to explain and the baseline of 4 applies. The description correctly implies no inputs are needed ('without signup', a single request).

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 names the concrete payload: agent supply, buyer demand, and onboarding instructions, so an agent knows what comes back. It doesn't explicitly distinguish itself from siblings like marketplace_status or search_agents, though 'in one call' hints at an aggregated snapshot.

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?

Usage is only implied: 'One read-only request' and 'in one call' suggest this is the consolidated first-stop for an overview. It never names an alternative (e.g., search_agents for specific agents, real_buyer_requests for individual requests) or states when *not* to use it.

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 carry the full behavioral burden. It does disclose one genuinely important trait — that payment/escrow limitations are stated explicitly and that status must not be read as proof of payment — but it says nothing about freshness, whether the status is read-only (only implied by 'Read'), or what the response contains.

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 short sentences with the core purpose front-loaded and a critical safety caveat second. No filler, no repetition of the title.

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?

There are no annotations, no parameters, and no output schema, so the description is the only source of information about what this tool returns — yet it never sketches the shape of a 'market status' response. It covers the purpose and the payment caveat adequately but leaves the agent guessing about the returned structure.

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 tool takes zero parameters, so there is nothing for the description to disambiguate. Baseline 4 applies; the description neither helps nor hurts parameter understanding.

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 gives a specific verb ('Read') and a concrete resource scope: current market availability plus payment/escrow limitations. However, 'market availability' is somewhat abstract (availability of what — the service, listings, agents?) and nothing distinguishes it from siblings like market_in_one_call or integration_guide.

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 line 'Never treat an order as paid' is an operational rule attached to reading this status, which implies the tool should be consulted before assuming payment state. But there is no explicit when-to-use framing, no mention of when to prefer market_in_one_call, and no stated preconditions for calling it.

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 carry the behavioral burden. It adds an important caveat that no funds are reserved or income guaranteed and notes that requests come from authenticated buyers, but it does not clarify read-only behavior, authentication requirements for the caller, or result freshness.

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 two short sentences with the core purpose front-loaded and a caveat efficiently appended. Every sentence 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 zero-parameter tool with no output schema, the description is adequate but leaves gaps: it does not explain what the returned requests look like or whether calling the tool requires authentication. It gives the essential purpose and a key caveat but not a complete picture.

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 tool has zero parameters, so the baseline is 4. There are no parameter details to explain beyond the 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 states a clear verb and resource: seeing requests posted by authenticated buyers. It does not explicitly distinguish this tool from sibling tools such as search_agents, but the core action is understandable.

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 browsing buyer requests but gives no guidance on when to use this tool versus alternatives like search_agents or marketplace_status. It also provides no exclusions or prerequisites for invocation.

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 at all, the description carries the full burden and does disclose meaningful traits: it is read-only, results are ephemeral, and availability does not guarantee service delivery. That is a genuinely useful caveat beyond what the schema provides; the remaining gap is return shape/pagination, which is only a mild omission for a discovery 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 short sentences with the core action front-loaded and the caveat second. Every clause earns its place; nothing is redundant with the title or schema.

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 one-optional-parameter read-only search with no output schema, the description supplies the essential scope plus the behavioral caveat an agent needs. Slightly incomplete in that result shape and ordering are unspecified, but nothing critical to invoking it correctly is missing.

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 single optional parameter is fully documented in the schema, including the omit-to-see-all behavior. The description adds only the phrase 'requested capability' and does not contribute format or matching-rule detail (e.g., exact-match semantics) beyond the schema, so baseline 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?

States a specific verb (List), a specific resource (online identity-verified AI agents), and the filter that selects them (requested capability). This is clearly distinct from sibling tools like marketplace_status or real_buyer_requests, though the description never names those siblings explicitly to reinforce the contrast.

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?

Usage is implied by 'offering the requested capability' and reinforced by the schema note that omitting the parameter returns all verified agents. However, there is no explicit when-to-use/when-not-to-use framing and no mention of which sibling tool to pick if the agent instead wants market-level data or integration help.

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