PHION Trust

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

Annotations already declare readOnly, idempotent, and non-destructive behavior, so the safety profile is covered. The description adds 'deterministic signed,' which hints at a reproducibility and output-signing property, but it does not clarify what 'signed' means here or what side effects, if any, the assessment has on the supplied 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 short and front-loaded, with no wasted phrasing. However, it is terse to the point of under-specification, leaving important semantic and selection information absent.

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 large, semantically overlapping sibling list and unnamed required parameters, the description is incomplete for reliable tool selection and invocation. The presence of an output schema helps, but the description still fails to convey the intended use case, input semantics, or differentiation criteria.

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 required parameters 'memory' and 'source' are given no semantic explanation in either the schema or the description. The phrase 'supplied input' is generic and does not clarify which parameter maps to which concept, so an agent cannot confidently determine what values to provide.

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 says the tool produces a 'deterministic signed assessment over supplied input,' which conveys the basic operation and resource. However, it does not explain what 'agent memory provenance' means, what question is being answered, or how this differs from many similarly named provenance/attestation siblings.

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 alternatives. The sibling list contains numerous provenance, evidence, and attestation tools, but the description provides no conditions, prerequisites, or exclusions to help an agent choose among them.

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 it does disclose two useful behavioral traits: the assessment is bounded by supplied evidence, and the call costs 0.005 USDC (a paid operation). It does not disclose what happens when evidence is insufficient, what the signed receipt guarantees, or any permission/latency characteristics.

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 dense sentence with no filler, and the core purpose plus the output contents and price are front-loaded. It is appropriately sized for the amount of information offered, though it packs the price tag on with a semicolon in a slightly awkward way.

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?

An output schema exists, so return values need not be described, but for a tool with three parameters, nested objects, and 0% schema coverage the definition is materially incomplete. It gives no indication of what must go into 'subject' or what qualifies as valid 'evidence', which an agent needs in order to call it correctly.

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% for three parameters including two nested objects, so the description must compensate but does not. It never mentions 'subject', 'signals', or 'evidence' directly, leaving the agent to infer the shape of the required subject object and the maxItems=32 evidence array from the raw schema alone.

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 a specific operation (evidence-bounded reputation assessment) on a specific resource (an agent subject), and lists what the result contains (confidence, coverage, provenance limitations, signed receipt). It is clearly distinguishable from generic siblings like verify or attest, though it never names a sibling to differentiate against.

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 when-to-use or when-not-to-use guidance and no alternative tool is named. The phrase 'evidence-bounded' weakly implies evidence must be supplied, but nothing tells the agent which of the many sibling preflight/verify/screening tools to prefer in a given situation.

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, so the description carries the full behavioral burden. It discloses the cost (0.003 USDC) and that the handoff is 'bounded', which implies a scoping constraint, but says nothing about permission requirements, irreversibility, idempotency, or what happens if payment fails.

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 short sentence with no wasted words, and the action verb plus the payment cost are front-loaded. Brevity is efficient here rather than merely under-specified, though it verges on too terse.

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?

An output schema exists, so return values need not be described, but this is a payment-bearing signing operation with zero annotations and the description leaves the key operational context (payment flow, bounded scope, failure handling) unstated. For a tool with monetary and signing implications, that is a significant gap.

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 reported at 100%, so the structured schema is expected to document the required 'handoff' parameter. The description adds no syntax, format, or content guidance for that parameter beyond restating that a handoff is being signed, so the 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 ('Sign') and resource ('bounded agent-task handoff'), which is enough to distinguish it from the many guard/evidence siblings. It does not, however, name any sibling or clarify how it differs from receipt-producing tools like delivery_evidence or retention_deletion_receipt.

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 indication of when to call this versus alternatives, no prerequisites, no exclusions. The only usage-adjacent detail is the price, which hints the call is paid but does not say under what circumstances a handoff should be signed.

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?

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds 'deterministic signed assessment', which is useful behavioral context beyond the annotations, but it does not explain what signing entails, what the assessment covers, or what happens to the input. No contradiction with 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 is a single short sentence with no wasted words. It front-loads the tool name and then adds the key qualifiers 'deterministic signed assessment'. It is concise, though it could be more informative without becoming verbose.

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 moderate complexity (two required params, output schema present, many siblings), the description is too thin. It does not explain what the assessment evaluates, how 'required' and 'offered' relate to capability negotiation, or when an agent should choose this over capability_verification or preflight. The output schema exists but the description still leaves the tool's purpose ambiguous.

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 schema already documents the two required parameters ('required' and 'offered'). The description adds no meaning beyond the schema; it does not explain what 'required' and 'offered' mean in the context of capability negotiation. Baseline 3 is appropriate because the schema carries the parameter documentation burden.

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 'Capability Negotiation Preflight; deterministic signed assessment over supplied input' states a specific verb-ish resource ('assessment') and mentions determinism and signing, but it does not explain what a 'capability negotiation preflight' actually does or what the assessment is about. Among siblings like capability_verification, capability_benchmark, and preflight, the description does not distinguish this tool from those alternatives.

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 siblings such as capability_verification, capability_benchmark, or preflight. The phrase 'over supplied input' implies it takes input and produces an assessment, but there is no explicit context, exclusions, or alternative routing.

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 full behavioral burden. It usefully discloses the 0.002 USDC charge, but says nothing about what 'hash and label' produces, whether the hashed content is transmitted or retained, or whether the operation is deterministic — significant gaps for a tool that ingests arbitrary content.

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?

It is a single compact sentence with the core action front-loaded and the cost appended. Nothing is wasted, though the terse phrasing leans on jargon that would benefit from a short clarifier.

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?

An output schema exists, so return values need not be explained. However, with no annotations and no usage context for a content-ingesting, paid operation, the definition leaves the agent guessing about safety, retention, and when this tool is appropriate.

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 reported at 100%, so the schema is presumed to document 'content' and 'source' adequately, giving a baseline of 3. The description adds no meaning beyond that, such as expected content types or source format.

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 specific verbs (hash, label) and the resource (context integrity, confidentiality and source), so an agent can tell it produces a provenance/integrity artifact. It does not, however, distinguish itself from siblings in the same evidence/attestation family (e.g. dependency_provenance_assessment, attest, fetch_evidence).

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 when-to-use guidance, no prerequisites, and no mention of alternatives among the numerous sibling guard/evidence tools. The only decision signal is the price, which tells the agent it costs money but not when it is the right tool.

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 it does disclose two useful traits beyond the schema: the evaluation is deterministic (same inputs yield the same verdict) and it costs 0.003 USDC. It omits whether the call is read-only, whether it requires auth or holds/reserves funds, and what happens on a failing verdict.

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 the core capability first and the price appended. Nothing is padded, though the trailing cost fragment is slightly awkward rather than fully integrated.

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?

An output schema exists, so return values need not be explained, but the tool has four undocumented nested-object inputs and no annotations. For a deterministic policy-evaluation tool, the description leaves the agent unable to construct the required 'subject' and 'policy' payloads.

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% across four nested-object parameters, so the description must compensate and largely does not. It only hints at two of them ('reputation evidence', 'transaction limits') and says nothing about the 'policy' or 'subject' objects or the shape of any nested field.

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 a specific resource (counterparty policy) and operation (deterministic preflight) and states what inputs drive it (reputation evidence, transaction limits). It is clear enough to distinguish from generic siblings like 'verify' or 'try_service', but it never explicitly contrasts itself with the closely related 'payment_preflight' or 'preflight' tools.

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 statement of when to call this versus the many preflight/assurance siblings (payment_preflight, preflight, transaction_assurance). No prerequisites, ordering, or exclusions are given; the agent must infer that 'preflight' means 'call before transacting' from the name 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?

No annotations exist, so the description carries the full behavioral burden. It does disclose a genuinely useful trait beyond the schema: a per-call cost of 0.002 USDC. But it omits whether inspection is advisory or blocking, what the policy argument changes, and any auth or rate-limit behavior for a paid gate.

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 clause with no filler; the scope and cost are stated compactly. It is efficient, though the extreme brevity is part of why the behavioral and parameter gaps exist.

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?

An output schema exists so return values need not be explained, but for a paid, complex-input preflight with zero annotation coverage and 0% parameter documentation, the description leaves key questions unanswered (blocking vs advisory, policy semantics, payload format). It is too thin for the tool's complexity.

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% across three parameters, including two required nested/opaque objects. The description conceptually names 'data' and 'destination' (mapping loosely to payload and destination) but says nothing about the optional 'policy' object, what shape payload/destination take, or what policy controls.

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 ('Inspect') with its resources ('outbound agent data and destination') and timing scope ('before transmission'), which is enough to distinguish it from payment-oriented siblings like payment_preflight. It stops short of explicitly naming which sibling to use instead, so it falls just below full sibling differentiation.

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?

'Before transmission' implies the usage context, so an agent can infer this is a pre-send gate. However, with numerous preflight/guard siblings (counterparty_risk_preflight, tool_call_policy_guard, transaction_assurance), no guidance is given on when this is the correct gate versus the others, and no exclusions are stated.

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?

Annotations already disclose read-only, idempotent, and non-destructive behavior. The description adds that the result is deterministic and signed, which is useful but minimal; it does not explain what input is accepted, what the assessment contains, or whether any external state is involved.

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 wastes few words, and the key functional hint 'deterministic signed assessment' is front-loaded. However, the leading phrase 'Delegated Credential Guard' simply duplicates the tool name and adds no 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?

Despite having an output schema and annotations, the description leaves the tool's core semantics undefined: what a delegated credential assessment is, what inputs are expected, what output shape or meaning results, and when an agent should prefer it over similar guards. This is too sparse for safe autonomous 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?

The schema names two required inputs, `credential` and `action`, but provides no property definitions or descriptions. The description does nothing to clarify what format these should take, what 'action' means, or how they relate to the assessment, so an agent cannot reliably construct a valid call.

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 merely pairs the tool name with a generic phrase, 'deterministic signed assessment over supplied input,' without stating what kind of credential or action is assessed, what the guard actually does, or what makes it different from the many sibling guard/assessment tools. It restates the title and adds only vague functional language.

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 on when to use this tool, when not to use it, or which sibling tools are alternatives. The description gives an agent no contextual signal to distinguish delegated_credential_guard from delegated_spend_policy, delegation_scope_guard, or attest.

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 bears the full burden of behavioral disclosure. It does not state whether the guard blocks, warns, or logs, what happens when a policy is violated, what the output contains, or what the 2 required nested objects must include. Only the protected dimensions are listed.

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 compact sentence with no filler. It front-loads the guard's purpose, though it omits any structural cue about the required objects.

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 annotations, no output schema, two required nested objects with 0% schema description coverage, and no behavioral details. The description is far too thin for a tool that appears to make security-critical decisions about delegation.

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% and both parameters are required nested objects with no shape or property descriptions. The description adds no meaning beyond naming the domains, so an agent cannot infer what 'delegation' and 'policy' must contain.

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 a specific action: enforcing 'least-privilege guard' on 'agent-to-agent delegation scope, destinations, budget and expiry'. However, no verb directly states what the tool does (e.g., validate, check, enforce). It also lacks distinguishing context from siblings like payment_preflight or counterparty_risk_preflight, which also appear to be pre-execution guards.

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 when-to-use or when-not-to-use guidance. The description does not explain in which scenarios an agent should invoke this guard versus alternatives such as preflight or counterparty_risk_preflight.

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 it does disclose meaningful behavior: it fails closed on empty dependency sets or missing registry policy, and it separates claimed digests from verified provenance. It also discloses metered pricing (0.003 USDC). Still missing are whether it performs network/registry lookups, what an assessment result looks like, or any auth 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?

Three compact clauses, front-loaded with the fail-closed constraint and ending with the cost, with no padding or repetition. It is efficient, though the brevity contributes to under-specification elsewhere.

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 two required parameters, a nested object schema at 0% description coverage, no output schema and no annotations, the description is far too thin to call correctly. It neither explains the input contract nor what the assessment yields, leaving core questions unanswered.

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% and both parameters (including a nested policy object with allowed_registries) are undocumented at any level. The description only implicitly alludes to 'dependency sets' and 'registry policy' without specifying entry format, registry identifier shape, or the 1000-item cap, so it does almost nothing to compensate for the schema gap.

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 name and phrase 'distinguish digest declarations from verified provenance' gesture at the function, implying a supply-chain provenance check against registry policy. However, the description never states plainly what the tool does or returns (e.g., 'assesses/attests dependency provenance'), and it offers no differentiation from nearby siblings like fetch_evidence or mcp_manifest_firewall. Purpose is inferable but vague.

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 statement of when to use this tool, what prerequisites exist, or which siblings are alternatives. The clause 'fail closed on empty dependency sets or absent registry policy' describes a guard behavior, not a usage condition that tells an agent when to select this tool.

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 full burden. It does disclose the price (0.003 USDC), the freshness requirement, the accepted proof methods, and the control-vs-legal-ownership distinction — useful behavioral context. It omits whether the call is read-only or mutating, what happens on failure, and what the caller receives.

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 dense sentence with no filler, and the cost and freshness constraint are placed up front. The phrasing 'Require a fresh ... challenge' is elliptical but compact.

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?

With no annotations, no output schema, and an undocumented nested evidence object, the description leaves too much for the agent to infer about inputs and outcomes. Given the tool's structural complexity, substantially more detail was warranted.

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% for two parameters, one of which is a nested object with five required subfields. The description maps loosely onto 'domain' and, via DNS-01/HTTP-01, onto the evidence method, but leaves challenge_sha256, verified_at, and independently_verified unexplained, so it does not compensate for the coverage gap.

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 a domain-ownership verification via DNS-01/HTTP-01 challenges and distinguishes control from legal ownership, which is a meaningful resource-specific idea. However, the leading verb 'Require' is an odd framing for a tool call and never states plainly what the tool does (verify, attest, issue evidence, or gate an action). An agent knows roughly the subject matter but not the operation.

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 when-to-use guidance, no mention of alternatives among the many evidence sibling tools (rwa_sanctions_screening_evidence, agent_reputation_evidence, mcp_server_identity_evidence, etc.), and no preconditions stated beyond a fresh challenge. The 'freshness' hint is the only contextual cue.

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 bears the full behavioral burden. It usefully discloses a cost of 0.002 USDC, which is a behavioral trait, but it does not state whether this is a read-only operation, what permissions are required, or any 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?

The description is a single, front-loaded sentence that efficiently conveys the core purpose and the cost. Every element 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?

Given the tool's simplicity, the presence of an output schema, and the inclusion of cost, the description is largely complete. It lacks usage guidance and deeper behavioral disclosure, but for a straightforward classifier it is adequate.

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 schema already documents the parameters, and the description adds no additional meaning about 'action' or 'policy'. With high schema coverage, a baseline of 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 states a specific verb ('Classify') and resource ('an action') with the three possible outcomes, making the tool's purpose clear. It does not explicitly distinguish itself from siblings like inter_agent_policy_evaluator or tool_call_policy_guard, so it falls 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 on when to use this tool versus alternatives. The description simply states what it does, without any context, prerequisites, or when-not-to-use conditions.

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?

Annotations already establish read-only, idempotent, non-destructive behavior. The description adds cost (0.003 USDC) and enumerates required fields, which is useful, but does not explain conflict behavior or how the computation is used. With annotations covering safety, this is an acceptable addition.

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?

Very concise, but the three semicolon-separated clauses are poorly structured and front-loaded with a requirement rather than the tool's purpose. The information could be delivered more clearly in the same length.

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 one complex array parameter, no output schema, and annotations that cover safety, the description is incomplete: it does not explain return values, how policies are evaluated, or the significance of 'restrictive cap' and 'shared actions'.

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 provide semantics. It lists the required fields ('policy identity, subject, action, lifetime and valid decisions') which maps to the schema's nested required fields, adding some meaning. However, it does not explain the array structure, min/max limits, or the meaning of each field beyond renaming.

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 specific computation ('compute the restrictive cap and shared actions'), which is a clear verb+resource, but it is preceded by a requirement list and lacks a clear statement about evaluating policies or how it relates to sibling tools. It is not a tautology, but the purpose is not front-loaded.

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 like tool_call_policy_guard or preflight. The precondition list ('Require policy identity...') is a schema requirement, not usage guidance.

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 full behavioral burden. It usefully discloses that the diff is recursive, requires explicit versions, flags sensitive changes without a version advance, and costs 0.002 USDC. However, it does not explain what counts as sensitive, how the diff is returned, or any permission or payment workflow beyond the cost mention.

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 wasted words. It efficiently combines the core operation, a key constraint, a behavioral flag, and pricing 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?

For a tool with nested inputs, no output schema, and no annotations, the description is moderately complete: it conveys the diff behavior, version requirement, sensitive-change flagging, and cost. Still missing are return format, treatment of nested manifest fields, and any auth or payment details beyond the stated USDC amount.

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%, and both parameters are nested objects. The description only adds that explicit versions are required, which maps to the schema's required version fields, but it does little to explain the remaining object structure or how previous and current manifests are compared. With low coverage and nested objects, this is insufficient.

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 specific operation (recursive manifest diff) and adds distinctive conditions: explicit versions required and sensitive changes flagged only when there is no version advance. It is clear what the tool does, though it does not explicitly distinguish itself from siblings like mcp_manifest_firewall or tool_capability_drift_monitor.

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 on when to use this tool versus alternatives, nor when not to use it. The description implies a diff use case, but it leaves the agent to infer the correct context and any prerequisites from the name and function 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 behavioral burden. It usefully discloses a cost (0.002 USDC), which is a real trait, but says nothing about what the inspection detects, whether it blocks installation, what happens on a failing manifest, or any auth requirements. The safety profile is essentially unspecified.

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 plus a price tag; no filler. It may be too terse for a nested-object tool, but it wastes nothing.

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 tool takes nested objects, has zero schema description coverage, and no annotations, yet the description omits the policy parameter, the detection semantics, and the meaning of a pass/fail result. An output schema exists so return values needn't be explained, but the gaps in scope and parameters leave it inadequate.

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% with two nested-object parameters, so the description must compensate and does not. The required 'manifest' object is somewhat inferable, but the optional 'policy' object is completely opaque in both 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?

States a specific verb (Inspect) and resource (MCP manifest) with a clear timing qualifier (before installation or trust). It distinguishes itself reasonably from siblings like tool_output_firewall, though the exact scope of 'inspect' is left fuzzy.

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 phrase 'before installation or trust' gives an implied trigger condition, so an agent knows roughly when to reach for it. However, it names no alternatives and offers no exclusions, which is weak given the many adjacent preflight/guard siblings (preflight, tool_call_policy_guard, counterparty_risk_preflight).

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 full burden of behavioral disclosure. It reveals the monetary cost (0.003 USDC), which is useful, but says nothing about whether the operation is read-only or mutating, what permissions are required, or what side effects binding may have.

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 wasted words. It efficiently states the action, the components involved, and the cost, though it may be too terse for a tool with financial and evidence implications.

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?

An output schema exists, so return values do not need explanation. However, with no annotations and a complex, payment-bearing identity-binding operation, the description omits critical context such as when to invoke it, what it produces, and how it relates to sibling evidence tools.

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 schema already documents the required 'identity' parameter. The description adds a list of components (domain, endpoint, manifest, key, version) that likely map to fields within that identity, but does not clarify the parameter's structure or format 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 uses a specific verb, 'Bind', and enumerates the identity components it operates on: MCP domain, endpoint, manifest, key, and version. It also names the cost, which helps identify this as a paid evidence-binding operation. However, it does not distinguish itself from adjacent siblings such as domain_ownership_evidence or mcp_manifest_firewall.

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 guidance on when to use this tool versus alternatives, nor does it state preconditions, exclusions, or typical workflows. The only contextual clue is the price, which does not explain usage in relation to sibling tools.

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 full disclosure burden. It does add one genuinely useful behavioral fact — the 0.002 USDC cost — and 'screen' implies a non-destructive check, but it omits whether the call blocks the write, what happens on a failed screen, and any auth/payment 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?

A single front-loaded clause stating action, target, and criteria, with the cost appended. Every element earns its place and nothing is 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?

An output schema exists so return values need not be explained, but with zero annotation coverage, two undocumented nested-object parameters, and no guidance on failure handling or policy semantics, the description is too thin for a guard tool that gates writes.

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% for two nested-object parameters, and the description only loosely gestures at the 'write' parameter via the phrase 'persistent memory writes'. The 'policy' object is never mentioned, so the description does not compensate for the documentation gap.

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 ('Screen') plus resource ('persistent memory writes') and enumerates the three checks performed (poisoning, unsafe instructions, missing provenance). It is clear what the tool does, though it offers no explicit contrast against potentially confusable siblings like tool_output_firewall or schema_normalize.

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 statement of when to invoke this guard versus alternatives, no prerequisites, and no exclusions. The price suffix hints this is a paid service (siblings include a *_free variant elsewhere), but the description never tells the agent to prefer a cheaper path or when screening is mandatory.

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?

Annotations already disclose readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the behavioral traits 'deterministic' and 'signed', which are useful, though 'deterministic' largely overlaps with the idempotency annotation. It does not describe authentication needs, rate limits, or failure behavior, but it does not contradict the 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 is a single compact sentence with no filler or redundancy beyond echoing the title. The phrase 'deterministic signed assessment over supplied input' is front-loaded and easy to scan. It is concise, though its brevity limits substance.

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 involving OAuth issuer binding and signed evidence, the description leaves too much unexplained: what 'issuer binding' means, what the assessment output looks like, and how the required parameters interact. Output schema and annotations cover return shape and safety, but the description itself is not complete enough for an agent to confidently know when or why to invoke this 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?

Schema description coverage is reported as 100%, so the parameters claims, expected_issuer, and expected_audience are already documented in the schema. The description itself adds no parameter-level explanation, which is acceptable under the high-coverage baseline, but it also does not enrich the meaning of those 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 states that this tool produces a 'deterministic signed assessment over supplied input', which hints at an assessment/evidence-generation operation. However, it never says what the assessment verifies about OAuth issuer binding or how it relates to the required claims, expected_issuer, and expected_audience parameters. It is more specific than a pure tautology but remains vague and does not distinguish it from sibling evidence tools.

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 on when to use this tool versus alternatives such as oauth_token_audience_guard, mcp_server_identity_evidence, or other evidence-generation tools. The description provides no prerequisites, exclusions, or typical use cases, leaving selection entirely to inference.

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. It usefully discloses that raw tokens are never sent and mentions a cost of 0.002 USDC, but it does not describe failure behavior, permissions, side effects, or limits of the validation.

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 compact sentence with three distinct clauses, front-loading the core validation purpose and adding only high-value details about token handling and 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?

An output schema exists, so return values need not be explained. However, with no annotations, the description should do more to clarify usage, error handling, or the validation outcome for an agent to invoke it confidently.

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 reported as 100%, so the baseline is 3. The description adds no parameter-level meaning beyond what the schema already provides for claims and expected_audience.

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 specific verb and resource: validate OAuth audience and issuer. It is clear what the tool does, but it does not explicitly distinguish itself from the many sibling guard/preflight tools, nor does it name alternatives.

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 on when to use this tool versus alternatives, nor any when-not conditions. The description implies a validation checkpoint but leaves usage context to inference.

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?

Annotations already cover idempotency, read-only, open-world, and destructiveness, and the description adds real context beyond them: budget enforcement, persistent idempotency, acceptance-criteria evaluation, a signed completion envelope as output, and the absence of a gateway surcharge. It stops short of describing failure behavior or what a rejected acceptance check yields.

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 densely packed sentences with no filler; the core pipeline (gate, execute, evaluate, return) is front-loaded and the pricing note is a useful trailing clarification.

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 mutating, open-world, 7-parameter tool with no output schema and 0% parameter documentation, the description covers the return concept ('signed completion envelope') but omits dry_run semantics, failure modes, and rejection behavior. Adequate but with clear gaps.

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 carry meaning, and it hints at max_budget_atomic ('enforce a budget'), idempotency_key ('persistent idempotency'), acceptance_criteria, and target_service. However, objective, input, and dry_run go entirely unaddressed, so it only partially compensates for the coverage gap.

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 ('execute') plus resource ('one selected PHION service') and frames the tool as a gateway with budget/idempotency/acceptance gating. It is distinguishable from most siblings, though it never names the closest alternatives such as try_service or preflight.

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 when-to-use or when-not guidance. The word 'universal' and the gateway framing imply broad applicability, but an agent cannot tell from the text when to pick phion_execute over try_service, preflight, or transaction_assurance.

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 full disclosure burden, and it discloses almost nothing beyond 'free' — no auth requirements, no explanation of what makes a URL unsafe, no behavior on failure, and no rate limits. Calling something a safety check without saying what it inspects or returns leaves real ambiguity.

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 front-loaded sentence with no filler; the core action leads. It is efficient, though the terseness edges toward under-specification rather than tightness.

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 tool with no output schema, the description still omits what a 'safety' verdict consists of and what the caller gets back, which is the main thing an agent needs to decide whether to gate a downstream action on the result.

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% for the single required url parameter, and the description only says a URL is checked. It does not clarify expected form (absolute? scheme? relative paths rejected?), which matters because the schema only declares format: uri with no prose.

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 concrete verb-plus-resource framing: it checks a URL for safety and reachability. That is enough for an agent to know what it does, but it never distinguishes itself from the sibling payment_preflight, which sounds nearly identical in kind.

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 statement of when to call this versus payment_preflight, verify, or the other siblings, and no prerequisites (e.g., authenticate first, call before payment). The agent is left to infer the workflow position of a 'preflight' entirely from the name.

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 only partially does so. It discloses that behavior is fail-closed, that revocation state is checked, and that there is a 0.003 USDC cost, but it omits critical behavior such as what happens on success or failure, whether the cost is per call, permissions, side effects, and return semantics.

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 text is a single dense fragment with no wasted words, and the price and fail-closed qualifier are front-loaded. However, the lack of a main clause or clear operation makes the structure weak and less useful than a concise but grammatically complete statement would be.

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 nested required objects, 0% schema description coverage, no annotations, and no output schema, the description is far too sparse to call the tool correctly. It hints at fail-closed consent checking and cost, but does not state the operation, return behavior, or action-parameter semantics, leaving substantial gaps for a tool of this complexity.

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 for two nested object parameters. It lists semantic fields for the consent object (ID, subject, recipient, purpose, scope, issue/expiry, revocation state) but says nothing about the required action object, which also has required subject, recipient, purpose, and scope fields. The description therefore leaves a major parameter entirely unexplained.

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 is a noun phrase describing the consent object and its bound fields, not a verb-driven statement of what the tool actually does. It largely restates the concept behind the name 'purpose_bound_consent' without clarifying whether the tool validates, issues, enforces, or inspects consent. An agent cannot reliably infer the operation from this text alone.

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 when-to-use guidance is provided. The description does not name alternatives or explain under what conditions an agent should choose this tool over sibling guard or preflight tools. It only notes that the tool is fail-closed and costs 0.003 USDC.

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 mostly fails it. It does not say whether validation is a local policy check or performs live network fetches, whether the result is a boolean vs. a report, what failure conditions exist, or any auth/rate-limit context. The cost disclosure (0.002 USDC) is the one genuine behavioral trait it adds.

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 the validated resource first and the price trailing. No filler, no redundancy, 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?

An output schema exists, so return values need not be explained. However, with no annotations and no usage guidance, an agent still lacks the context needed to know when this validator applies and how its result should be interpreted, making the definition only minimally viable.

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 reported at 100%, so the baseline is 3 even though the description adds no explicit parameter meaning. The phrase 'host allowlists' loosely corresponds to allowed_hosts and 'HTTPS callbacks' constrains requested_url, but the description never clarifies formats, matching rules, or required scheme.

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 ('Validate') and two concrete resources ('HTTPS callbacks' and 'redirect host allowlists'), so an agent can tell what it operates on. However, it offers no differentiation from closely related siblings such as webhook_verifier or data_egress_preflight, leaving overlap ambiguous.

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 when-to-use, when-not-to-use, or alternative is named. The only usage-adjacent information is the price ('0.002 USDC'), which tells the agent nothing about which situations should select this tool over the validators siblings.

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 full behavioral burden, and it discloses almost nothing: no permissions required, no mutation semantics, no idempotency, no cost mechanics beyond mentioning 0.003 USDC, and no explanation of what the three state distinctions mean operationally.

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 single sentence is short but not front-loaded with a purpose—it opens with an abstract list of states before the reader knows what the tool does. The trailing '0.003 USDC' is the only concrete detail and feels disconnected from the rest.

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 two required nested-object parameters, 0% schema coverage, no annotations, and no output schema, the description is far too thin. An agent cannot determine what to pass or what it will get back.

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% and both parameters are required nested objects (action.kind, record.record_id, record.content_sha256). The description mentions content and evidence hashes but does not map them to parameters or explain valid action kinds, leaving the schema entirely undocumented.

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 lists concepts (requested, operator-completed, evidence-verified states) but never states a clear verb+resource. 'retention_deletion_receipt' plus a sentence fragment describing states makes it hard to tell whether this creates a receipt, verifies one, or reports status. It does not differentiate itself from siblings like delivery_evidence or verify.

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 when-to-use guidance, no when-not-to-use, and no mention of alternatives such as delivery_evidence, attest, or verify. The agent must infer the situation from the description alone, which is not possible with confidence.

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; it does disclose genuine behavior beyond the schema: free tier, rate limiting, non-mutation of payment-critical values. But it omits error/invalid-payload behavior, what the rate limit actually is, and whether normalization mutates or returns a new payload.

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 tight sentences with the key guarantee front-loaded after the purpose clause; no filler. Slightly dense with unattributed modifiers ('Free, rate-limited') but appropriately sized.

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 and no annotations, with a nested free-form payload object and an undocumented required target_service string. An agent cannot reliably construct a valid invocation from this description alone; payload shape, service identifiers, and failure behavior are all 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 description coverage is 0%: the nested 'payload' object has no field documentation, and 'target_service' is never mentioned in the description at all, so its expected values are entirely unknown. The description adds some intent ('payment-critical values are never changed') but does not compensate for the uncovered, required 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?

States a specific action pair (validation and safe key normalization) on a specific resource (payload) with scope (before payment). The adjectival 'Free, rate-limited' implicitly distinguishes it from the sibling schema_normalize, but the distinction is left for the agent to infer rather than stated.

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?

Gives a clear timing context ('before payment'), which implies when to reach for it, but never names the alternative schema_normalize or states when to use the paid variant instead. No exclusions or prerequisites are given.

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 full behavioral burden. It mentions the action and a cost ('0.002 USDC'), but omits critical traits: whether the payload is modified in place, what counts as a 'secret indicator', whether redaction is reversible, required permissions, and any 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?

The description is a single, front-loaded sentence that states the core action, the timing constraint, and the cost. Every element earns its place, and there is no verbosity.

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 annotations, an output schema, and many similar preflight siblings, this one-line description is too sparse. It lacks usage direction, behavioral details about redaction or mutation, and any input expectations beyond the name, leaving the agent underinformed for selection and 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 reported as 100% and the parameter count is 0, so the schema is treated as fully documenting available parameters. The description adds no parameter-level meaning, which is acceptable given the baseline, but it also does not clarify the required 'payload' input at all.

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 specific verb pair ('Detect and redact') and resource ('common secret indicators') along with context ('before transmission'). It is clear what the tool does, but it does not differentiate itself from related preflight siblings such as data_egress_preflight or payment_preflight.

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 phrase 'before transmission' implies a usage context, but there is no explicit guidance on when to choose this tool over alternatives, no exclusions, and no prerequisites. With many preflight siblings, this leaves selection ambiguous.

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. It mentions a cost ('0.004 USDC'), which is useful, but does not state whether signing is irreversible, what permissions/identity are required, latency/rate behavior, or what 'bounded samples' constrains. Output schema exists, so return format needn't be described, but safety and irreversibility are missing.

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 tight sentence with no waste, and the cost is front-loaded in a parenthetical. It is appropriately sized, though it could be slightly more front-loaded on the core action.

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 signing/attestation tool with no annotations and a required-samples+policy contract, the description is too thin. It omits prerequisites, irreversibility, identity requirements, and any routing rationale, leaving meaningful gaps.

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 parameters samples and policy are already documented in the schema and baseline is 3. The description adds no syntax, format, or constraint meaning beyond what the schema provides.

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 (sign) and resource (availability/latency calculations), distinguishing it from generic siblings like 'attest' or 'verify'. However, the scope is vague: 'bounded samples' and 'sla attestation' aren't fully explained, and an agent can't easily tell why this differs from 'attest' without opening the schema.

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 when-to-use guidance. It does not explain when an agent should choose service_sla_attestation over attest, verify, or try_service, nor what prerequisite state (samples, policy) must exist first.

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 full behavioral burden. It discloses a cost (0.003 USDC) and a mutation-like action (signing), but says nothing about permissions, reversibility, idempotency, or what the signature means. For a signing/payment operation with zero annotation coverage, this is a significant gap.

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 tight sentence front-loads the verb and resource and appends the cost. No waste, no filler, and the essential transaction trait (price) is not buried.

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 tool involves signing and a fee, and it has an output schema, so return values need not be explained. But the absence of any behavioral context for a paid signing operation leaves an agent under-informed about prerequisites and consequences, making this only minimally complete.

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 reported at 100%, though the input schema itself is terse. With high schema coverage, the baseline is 3 even though the description adds no parameter-level detail beyond the implied 'results' input.

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 ('Compare') and resource ('agent results') and adds the action taken ('sign agreement or conflict'), which distinguishes it from neighbors like conflict_resolution and verify. It is clear what the tool does, though it doesn't explicitly name which sibling it is not to be confused with.

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 when-to-use, when-not-to-use, or alternative routing guidance. The description mentions the output artifact (signed agreement/conflict) but not the scenario that calls for this comparator over related tools such as conflict_resolution.

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 full behavioral burden. It does not disclose whether the tool blocks execution, merely validates, is read-only, or what it returns; the '0.002 USDC' cost hint is the only behavioral detail, and it is terse.

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 front-loads the core action and includes the cost. It is efficient, though the compression is part of what leaves the contract underspecified.

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 three-required-parameter, nested-object tool with no annotations and 0% schema coverage, the description is far too thin. Even noting that an output schema exists, the input contract and the guard's effect are not conveyed, so the definition is not sufficient to call correctly.

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% and all three parameters are untyped nested objects ('call', 'intent', 'policy'). The description names the concepts but adds no structure, expected shape, or required fields for any of them, so the agent must guess the object contracts.

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 specific verb ('Bind') and objects ('proposed tool call', 'declared intent', 'execution policy'), which is more specific than the name alone. However, 'Bind' is abstract jargon and the tool's actual effect (validation? logging? blocking?) is left ambiguous, so an agent cannot fully distinguish it from siblings like delegation_scope_guard or preflight.

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 when-to-use guidance is given. With sibling tools such as preflight, payment_preflight, mcp_manifest_firewall and delegation_scope_guard all plausibly overlapping with policy enforcement, the agent has no signal about which guard to invoke in which scenario.

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 full behavioral burden, and it discloses almost nothing: no indication that this is a read-only comparison, no determinism/idempotency statement, no auth requirements, no note on what a 'drift' finding triggers. The only extra fact is the 0.002 USDC price, which is useful cost context but not 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?

It is a single front-loaded clause with no filler; the purpose comes first and the price is appended compactly. It is arguably too terse rather than verbose, which is an under-specification problem rather than a conciseness one.

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?

An output schema exists, so return-value explanation is not required, but for a two-input comparison tool the description never clarifies what the inputs represent or what class of drift it covers. Against ~60 siblings with overlapping manifest/tool-integrity functions, the definition leaves the agent without enough to invoke it correctly or confidently.

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 schema description coverage at 100%, the schema is expected to document the two required inputs, so a baseline of 3 is appropriate. The description adds nothing about what 'baseline' and 'current' should contain (manifests? capability snapshots? versions?), which is the one thing a drift tool most needs to clarify.

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 a specific verb (detect) and object (tool capability or manifest drift), so the purpose is more than a tautology. However, it gives no differentiation from close siblings such as manifest_version_diff, mcp_manifest_firewall, or tool_output_firewall, which an agent must choose between. The phrase 'capability or manifest drift' is broad enough to overlap with several of them.

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 when-to-use guidance, no prerequisites, and no named alternative. The agent is left to infer from the name alone that this compares a prior state against a current state, and nothing tells it when manifest_version_diff would be the better pick.

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 full disclosure burden. It discloses cost (0.002 USDC), which is useful, but says nothing about what happens on unsafe output (block vs. report a verdict), any permission/auth needs, or latency — all critical for a 'firewall' tool whose name implies enforcement.

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 packs purpose, timing, and price with no wasted words. It is efficient, though the terseness borders on under-specification rather than pure conciseness.

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 output schema covers return values, but with no annotations and zero parameter documentation, the agent cannot construct a valid 'policy' or 'source' object. For a tool with nested-object inputs and a high-stakes enforcement role, the description leaves substantial gaps.

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% across 3 parameters, including nested 'policy' and 'source' objects, so the description must compensate and does not. It only loosely implies the meaning of the required 'output' parameter and gives no indication of what 'policy' or 'source' should contain.

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 ('Inspect') and resource ('untrusted MCP/tool output'), giving the agent a clear sense of the operation. It does not explicitly differentiate itself from sibling guard tools like memory_write_guard or delegation_scope_guard, but the resource is specific enough to distinguish it.

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 phrase 'before it enters agent context or triggers an action' gives a clear timing condition for invocation. However, it names no alternatives and gives no when-not guidance, leaving the agent to infer when this is preferable to related siblings such as preflight or try_service.

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?

Annotations already declare readOnly, idempotent, and non-destructive hints. The description adds a little beyond them by noting the result is 'deterministic' and 'signed,' which are useful behavioral traits. However, it does not explain what signing entails, what the assessment covers, or any other operational behavior.

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, but the opening phrase 'Tool Result Schema Validator;' is redundant with the name and title. The remaining phrase is compact but vague. There is no wasted length, yet the first half fails to earn 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?

Despite rich annotations and an output schema, the description leaves the core behavior unstated: that a result is checked against a schema and a signed assessment is produced. An agent cannot confidently infer the exact purpose or expected input semantics from the description alone. This is more than minor—it is the central missing piece.

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 high, so the schema already carries baseline parameter meaning. The description adds no detail about how 'result' and 'schema' interact, but per the rubric the baseline of 3 applies when the schema does the heavy lifting.

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 begins by repeating the tool title almost verbatim, then adds only 'deterministic signed assessment over supplied input.' It never states the actual operation—that it validates a result against a supplied schema—and offers no differentiation from siblings like signed_result_comparator or schema_normalize. This reads as a tautology with a vague qualifier.

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 on when to use this tool versus alternatives, no exclusions, and no implied context such as 'use when you need to verify a result conforms to a schema.' The agent must infer usage entirely from the tool name and parameter names.

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. It discloses that the operation is free and requires no wallet, suggesting a non-mutating informational action. However, it does not explicitly state that it does not execute the service, only that it gives a 'preview', and it omits any potential side effects or error behavior. The transparency is decent but not exhaustive.

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 that covers the essential points: free, representative preview, exact price, upgrade instructions, and no wallet requirement. Every phrase adds value, with zero wasted words. It is ideal for quick agent comprehension.

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 tool has one parameter with a large enum, no output schema, and no annotations. The description explains what it returns (preview, price, upgrade instructions) and that it targets paid services. It does not mention error handling or output format, but given the informational nature, it is largely sufficient for an agent to invoke it correctly.

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 has 0% description coverage, so the description must add meaning. It clarifies that the 'service' parameter selects a paid service from the enum. However, it does not elaborate on what each enum value represents or how to choose between them. Given the long list of services, this is a minimal but helpful clarification.

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 purpose: providing a free preview, exact price, and upgrade instructions for any PHION paid service. It explicitly notes that no wallet is required, distinguishing it from tools that execute actual paid transactions. The verb 'provide' and resource 'preview, price, upgrade instructions' make the action specific.

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 does not provide explicit guidance on when to use this tool versus the many service-specific siblings (e.g., payment_preflight, attest). It implies generic applicability ('any PHION paid service') but lacks a clear 'use this when...' or 'use that instead...' instruction, leaving the agent to infer the appropriate choice.

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. It only discloses that verification is 'Free' (a genuine cost signal), but says nothing about whether it is read-only, what permissions it needs, what a failed verification looks like, or what the tool returns.

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 arguably under-specified rather than truly concise given the gaps elsewhere.

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 three parameters, nested objects, 0% schema coverage, no output schema, and no annotations, one sentence is insufficient. An agent lacks guidance on what 'content' and 'sources' are for and how to interpret a verification result.

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% for three parameters, and the description only implicitly touches the 'receipt' parameter. The 'content' and 'sources' parameters (the latter an array, the former unexplained) receive no meaning at all, leaving most inputs undocumented.

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 and resource: 'verification of a PHION signed receipt.' An agent can tell this is a verification tool, not an attestation or payment tool. However, it offers no differentiation from the sibling 'journey_verify,' which also sounds like a verification operation, and the 'PHION' term is opaque without domain context.

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 statement of when to use this tool versus alternatives like journey_verify, attest, or preflight, and no prerequisites or exclusions. The only usage-adjacent signal is 'Free,' which hints at cost but not routing.

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?

Annotations already establish it as read-only, idempotent, non-destructive and closed-world, so the safety profile is covered. Beyond that, the description adds real behavioral signal: it is 'fail-closed,' enumerates the checks it enforces (trusted key, algorithm, nonce, freshness, replay status, signature coverage), and discloses a cost of '0.003 USDC.' This is meaningful context the annotations do not provide.

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 dense sentence that front-loads the core concept ('Fail-closed RFC 9421-style webhook preflight') before enumerating requirements and cost. Every clause carries information, though the packing of so many checks makes it slightly hard to scan.

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 two nested objects, 0% schema descriptions and no output schema, the description supplies a fair amount (the enforcement model, the checked properties, the cost). But it omits any explanation of the `event` payload shape and does not state what the caller receives on pass vs. fail, which matters for a fail-closed gate.

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% for two nested objects, so the description must carry parameter meaning. It usefully enumerates the verification requirements (trusted key, algorithm, nonce, freshness, replay, coverage of method/target/content), which maps onto the `verification` sub-fields. However, it says nothing about the `event` object (delivery_id, timestamp, payload) or how freshness ties to the timestamp, leaving half the parameter surface unexplained.

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 a specific verb and resource: a 'webhook preflight' that verifies signatures 'RFC 9421-style.' It is clearly a verification/validation gate for webhooks, distinguishing it functionally from the many payment and policy preflights among its siblings. It stops short of explicitly naming which sibling to prefer, but the purpose itself is 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?

Usage is only implied by the word 'preflight' – the reader can infer it runs before accepting a webhook. There is no statement of when to use it versus the adjacent preflight/verify siblings or any precondition (e.g., call before processing the payload). No exclusions or alternatives are given.

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