Compare opportunity snapshots and emit NEW, CHANGED, and REMOVED_OR_CLOSED events for job boards, RFP feeds, grants, auctions, and other monitored commercial sources.
| Name | Required | Description | Default |
|---|---|---|---|
| current | Yes | ||
| previous | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full responsibility for behavioral disclosure. It states the tool emits events, which suggests a read-like operation, but does not mention side effects, permissions, rate limits, or whether the tool modifies any state. The description also doesn't clarify if events are returned synchronously or trigger side effects. This is a significant gap for a potentially complex changefeed tool.
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. It front-loads the core action (compare and emit) and then specifies the event types and sources. There is no redundant phrasing or filler. It efficiently communicates the tool's essence without unnecessary detail.
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, so the description should explain the shape and meaning of the emitted events. It mentions event types but not their structure or payload. It also doesn't clarify what constitutes a 'change' or how the comparison works, nor does it provide example usage. Given the complexity of comparing snapshots from multiple sources, the description is under-specified, making it difficult for an agent to invoke correctly without additional context.
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 explain the two parameters, 'previous' and 'current'. It only says 'compare opportunity snapshots', which implies both are snapshots but doesn't specify the structure, required format, or what each represents beyond that. The description adds minimal meaning beyond the schema's 'array' type, leaving the agent unsure what to pass.
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 purpose: compare opportunity snapshots and emit events for changes. It specifies the action (compare/emit), the resource (opportunity snapshots), and the specific event types (NEW, CHANGED, REMOVED_OR_CLOSED). This distinguishes it from similar tools like commercial_terms_diff (which diffs terms) or federal_opportunity_search (which searches), making the purpose immediately obvious.
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 provides no explicit guidance on when to use this tool versus alternatives. It doesn't mention scenarios like 'use when monitoring commercial sources' or contrast with search or diff tools. The context is implied by the event types, but no clear usage direction is given. This leaves the agent to infer when this tool is appropriate.
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.
Most tools have clearly distinct targets—Base reads, web research, opportunity search, and gating—but a few overlapping 'verify' and 'gate' tools could blur boundaries for an agent, especially verify_commercial_truth and verify_deadline_eligibility. Descriptions do differentiate them, so misuse is unlikely with careful prompting.
All names use snake_case and are internally consistent for the base_* cluster, but outside of that, some tool names are nouns while others are verbs (e.g., domain_intelligence, web_read, vendor_verification). This mixed convention makes it less predictable than a strict verb_noun pattern.
21 tools is on the high side of the comfortable range, but the server covers a broad scope: blockchain reads, web/content intelligence, opportunity discovery, commercial verification, and preflight gates. Each tool has a distinct role, though a few feel marginal rather than essential for a leaner setup.
The set covers the main workflows you'd expect: reading blockchain state, researching and verifying web snippets, tracking opportunities, and blocking bad actions with a fee preflight. The notable gap is an explicit execution step—there is no actual sending, bidding, or payment action beyond the x402 preflight. That is a reasonable boundary for a read/preflight tool suite.