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HackerNews Mention Intelligence

mention_intel_report

PAID ($0.50 USDC on Base via x402). Highest-value buzz-intelligence report: mention counts, rising/steady momentum, top stories and hot-discussion takeaways. Use for developer-marketing, PR monitoring, competitive mindshare analysis, launch and reputation tracking.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description carries the full burden but does disclose important behavioral context: the tool is paid, the cost is $0.50 USDC on Base via x402, and the report contents are listed. It still omits read-only status, latency, data freshness, and whether the target scope is limited, so the disclosure is useful but incomplete.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is three efficient sentences: payment/cost, report contents, and use cases. It is front-loaded with the paid nature and what the report provides, with no significant filler beyond a mild marketing phrase ('Highest-value').

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a one-parameter paid report with no output schema, the description covers cost, report contents, and use cases reasonably well. It remains incomplete because the target parameter is undocumented and sibling differentiation is absent, leaving gaps an agent must resolve before calling it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The single required parameter 'target' has 0% schema description coverage, and the description never explains what target represents, what format it takes, or whether it is a keyword, handle, brand, or URL. The agent must infer its meaning from the tool name alone.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names a specific report and lists its contents (mention counts, momentum, top stories, hot-discussion takeaways), so the agent knows what the tool returns. However, it does not explicitly distinguish this tool from siblings such as mention_snapshot or mention_landscape, leaving the 'intel report' positioning somewhat ambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It gives clear use-case contexts (developer-marketing, PR monitoring, competitive mindshare, launch and reputation tracking), which helps the agent decide when this tool is appropriate. It does not state when not to use it or name alternative siblings for narrower scenarios.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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