proof_fetch_offer
Return the machine-payable ProofFetch offer and paid HTTP route.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Return the machine-payable ProofFetch offer and paid HTTP route.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
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 only says 'Return', which hints at a read operation, but it does not disclose whether this creates or stages an offer, requires authentication or payment, has side effects, or what 'machine-payable' implies.
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 sentence with an active verb and a clear target output. It is front-loaded and contains no 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?
It is adequate for a parameterless tool, but with no output schema and no annotations it could describe the structure of the returned offer/route and the relationship to the preflight sibling. Terms like 'machine-payable' are left undefined.
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 and the schema is an empty object, so there are no parameter semantics to document. The baseline of 4 applies because no parameter information is needed.
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 the verb 'Return' and clearly names the resource: 'machine-payable ProofFetch offer and paid HTTP route.' It states what the tool does, though it does not explicitly contrast it with the sibling proof_fetch_preflight, so differentiation relies partly on the tool names.
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 proof_fetch_preflight, no prerequisites, and no sequencing information. An agent must infer that an offer likely comes after a preflight step.
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.
The two tools have clearly distinct roles: one provides the paid offer and route, the other performs a free preflight scan. There is no possible confusion between them.
Both tools share the 'proof_fetch_' prefix and use a clear noun/verb suffix ('offer', 'preflight'). The naming pattern is uniform and predictable.
With only two tools, the server feels thin for its 'Cited Web Evidence' purpose. The count is borderline minimal and only marginally justifiable for a simple free-then-paid workflow.
The tools cover a coherent flow: preflight validation and then an offer for paid retrieval. A minor gap exists because there is no in-tool method to retrieve the actual page content, but the offer returns the route for that.