answer_with_sources
Answer a research question with cited web sources and a concise evidence packet. $0.65/call via x402.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| question | Yes | Question to answer with citations |
Answer a research question with cited web sources and a concise evidence packet. $0.65/call via x402.
| Name | Required | Description | Default |
|---|---|---|---|
| question | Yes | Question to answer with citations |
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 must carry the behavioral burden. It mentions the cost per call ($0.65 via x402), which is a practical behavioral trait, and implies it performs web research with citations. However, it does not disclose limitations (e.g., timeouts, source reliability, failure modes) or what exactly constitutes an 'evidence packet'. It adds some value beyond the schema but lacks depth.
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 sentence followed by a pricing note. It is perfectly concise, front-loaded with the action, and contains no fluff. Every part 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 the tool's simplicity (one required parameter) and the absence of an output schema, the description covers the core behavior sufficiently. It names the output components (cited sources and evidence packet) though not the exact structure. This is adequate for an agent to know what it will receive, though it could benefit from mentioning pagination or formatting.
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 schema coverage is 100%; the 'question' parameter is described as 'Question to answer with citations'. The tool description adds no extra semantics beyond that, such as expected format, length, or examples. With high schema coverage, the baseline is 3, and the description does not exceed it.
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 verb 'answer' and the resource 'research question', and specifies the output as 'cited web sources' and a 'concise evidence packet'. It is specific enough to distinguish it from generic web extraction or keyword tools, though it doesn't explicitly name a sibling alternative. This fits a 4: clear purpose without explicit sibling differentiation.
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 no guidance on when to use this tool versus alternatives like web_extract or company_research. It does not state any conditions, exclusions, or recommended scenarios. The context of answering a research question is implied but not contrasted with other tools.
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.
Several tool groups are nearly indistinguishable: wallet_analyze, wallet_spy, and base_wallet_profile all inspect wallets; batch_extract, batch_url_json, and x401_batch_extract all batch-extract URLs; route_task, agentcore_route, and mpp_route all perform routing. An agent would need to read very carefully to avoid selecting the wrong tool.
All names are snake_case, but there is no consistent verb_noun or namespace pattern: many are noun-only (inference, echo, sentiment, server_time), some are prefixed by domain (bazaar_, base_, x402_, rep_), and action prefixes vary widely (fetch_, compile_, extract_, purchase_, route_). The naming is readable but not predictable across the set.
Seventy tools is an extremely large surface for an agent to choose from, and most appear to be independent paid service wrappers. This exceeds the 50+ extreme mismatch threshold in the calibration and creates an overwhelming selection problem.
Relative to its apparent purpose—exposing x402 payments and Bazaar market data—the coverage is extensive: diagnostics, preflight, settlement verification, receipt lookup, wallet checks, Bazaar analytics, web extraction, and text processing are all represented. The main gaps are operational side-effects like creating or updating a Bazaar listing, but those appear to be outside this read/purchase surface.