proofrelay.describe_stripe_entitlement_flowReturn the agent-native Stripe checkout entitlement workflow for ProofRelay paid verification, including token, status, redemption, and replay expectations.
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No arguments | |||
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Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is established. The description adds that the tool returns workflow expectations including token, status, redemption, and replay, which provides semantic context beyond annotations. However, it does not disclose output format details, error behavior, or what 'agent-native' means operationally—leaving some behavioral traits implicit. 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, well-structured sentence that front-loads the core action and resource, then lists the key coverage areas. Every phrase earns its place: 'agent-native', 'Stripe checkout entitlement workflow', 'ProofRelay paid verification', and the four expectations. No redundancy or filler.
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 zero parameters, a strong output schema, and comprehensive annotations, the description needs relatively little to complete the picture. It communicates the tool's purpose and scope effectively. The only minor gap is that it doesn't explicitly state the return value shape beyond the schema, but the presence of an output schema reduces that burden. This is complete enough for its 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?
The tool has zero parameters, so the schema is trivial and covers 100% of the parameter space. Per the rubric, a zero-parameter tool gets a baseline of 4. The description correctly does not attempt to explain non-existent parameters. There is no additional semantic burden for the description here.
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 ('Return') and identifies a clear resource ('agent-native Stripe checkout entitlement workflow for ProofRelay paid verification'). It also lists key content areas (token, status, redemption, replay expectations), making the tool's focus understandable. However, it does not explicitly distinguish the tool from siblings like proofrelay.normalize_payment_proof or proofrelay.describe_cli_sdk_helper, though the named resource is fairly distinct.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies when this tool is relevant—when an agent needs the Stripe checkout entitlement workflow for ProofRelay paid verification. It does not explicitly state when not to use it or name alternative tools among the siblings. Given the descriptive intent, the usage context is clear but lacks exclusion criteria or direct sibling differentiation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
All 26 tools have distinct names that clearly indicate their purpose (e.g., adapt_agent_identity_evidence vs. build_audit_pack_manifest). No two tools have overlapping or ambiguous functions, even though some share similar verbs; the nouns and description contexts differentiate them effectively.
The tool names follow a uniform convention: all start with 'proofrelay.' and use lowercase verb_noun with underscores (e.g., proofrelay.build_bundle_draft, proofrelay.verify_signed_attestation). There is no mixing of camelCase, across the entire set.
The server exposes 26 tools, which exceeds the 'borderline' range of 16–25 and falls into the 'too many' category (>25). While the tools cover a broad domain (evidence verification, risk scanning, etc.), the large number might overwhelm agents and suggests that some tools could be merged or the scope narrowed.
The tool set covers a comprehensive range of operations—adapting, building, verifying, scanning, recommending, and summarizing—across multiple subdomains (identity, payment, audit, etc.). Minor gaps exist, such as missing tools for updating or deleting evidence, but overall the surface appears very complete for the described functionality.