Pay THROUGH Aegis: we buy the best verified service for you (by url or capability) and relay the data, failing over if one is down. One integration reaches the whole registry; not charged if nothing delivers. Dynamic x402 price via _meta.
| Name | Required | Description | Default |
|---|---|---|---|
| url | No | ||
| capability | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden. It discloses meaningful behaviors: failover if a service is down, no charge if nothing delivers, and dynamic pricing via '_meta'. However, it omits other relevant traits such as authentication requirements, rate limits, or whether the operation has side effects beyond paying and relaying data.
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 three sentences long and every sentence adds value: the first explains the core mechanism, the second highlights the integration scope, and the third addresses pricing. It is information-dense without fluff, and the structure front-loads the most important action first.
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 no output schema and no annotations, so the description must cover both behavior and return expectations. It explains the process well but does not mention what the response looks like or how failures are signaled beyond failover. Given the moderate complexity and the presence of sibling tools, some guidance on distinguishing use cases would improve completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema shows two bare string parameters with 0% description coverage, but the description compensates by explaining that the tool operates 'by url or capability,' indicating that these are alternative selection methods. This adds essential meaning beyond the schema, though it does not specify formats or precedence.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's function: paying through Aegis to buy a verified service and relay data, with parameters 'url' or 'capability'. It identifies a specific resource and action, but it does not explicitly distinguish itself from the sibling 'route_batch', making its differentiation somewhat unclear.
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 'One integration reaches the whole registry' implies this is a primary access point, but no explicit guidance is given on when to use this tool versus alternatives like 'discover' or 'route_batch'. There are no stated exclusions or conditions for when not to use it, so the usage context is only implied.
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.
Multiple tools have overlapping purposes: discover and smart_discover both find services but differ only by price and method; procure and route both buy services with failover; erc8004_reputation and trust_check both assess trust. This creates ambiguity in tool selection.
Tool names mix bare verbs (discover, procure, route), compound verbs (smart_discover, trust_check), and noun-style names (erc8004_reputation). No consistent verb_noun or action_resource pattern is followed.
Seven tools is a reasonable count for the domain of service discovery and procurement. However, some tools are near-duplicates, so the count feels slightly inflated but not excessive.
The set covers discovery, trust evaluation, and procurement. Missing pieces include service registration/management and perhaps a way to query past transactions, but core consumer workflows are represented.