evaluator_get_fees
Get the live evaluator fee schedule (3 tiers, settlement currencies, recipient addresses, ERC-8183 / Virtuals ACP v2.0 spec). No auth required.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Get the live evaluator fee schedule (3 tiers, settlement currencies, recipient addresses, ERC-8183 / Virtuals ACP v2.0 spec). No auth required.
| 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?
With no annotations provided, the description carries the full burden of behavioral disclosure. It openly states that no authentication is needed, that the data is live, and what the response contains (tiers, currencies, addresses, spec). It implies a read-only operation via 'Get' and describes the return scope, which is sufficient for a zero-parameter fetch.
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 purpose and key details without redundancy. The parenthetical list of content elements is compact and relevant. Every word 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 there are no parameters, no output schema, and no annotations, the description adequately covers all necessary context for an agent to select and invoke the tool. It specifies what will be returned (fee schedule with tiers, currencies, addresses) and the operational requirement (no auth), making it fully self-contained.
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?
There are no parameters, so the schema is trivially complete. The baseline for 0 params is 4; the description adds value by explaining what the (absent) input context is—none needed. It doesn't need to describe parameters, so it earns the baseline.
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 opens with a specific verb and resource: 'Get the live evaluator fee schedule'. It clearly distinguishes from sibling tools (which deal with job lifecycle) by focusing on the fee schedule, and provides useful detail about the contents (3 tiers, currencies, addresses, spec).
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 clear context for when to use this tool: when you need the live fee schedule. It explicitly notes 'No auth required', which is a helpful prerequisite. While it doesn't mention alternatives or exclusions, the tool's purpose is distinct from siblings, so the guidance is adequate.
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.
Each tool has a clearly distinct purpose: submit, retrieve fees, retrieve job status, and attest. No two tools overlap in function, so there is no ambiguity for an agent selecting between them.
All tool names follow the same 'evaluator_<verb>_<object>' pattern, with verbs like submit, get, and attest. This consistent structure makes the toolset predictable and easy to navigate.
With only 4 tools, the server is tightly scoped to the core evaluator workflow. Each tool serves an essential function without unnecessary redundancy or bloat.
The toolset covers the complete job lifecycle: fee lookup, submission, status/verdict retrieval, and final attestation. There are no obvious missing operations for the stated purpose.