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dev.to Developer Blogs & Programming Tutorials — buy per-query (devtowatch)

data_preview

Read-onlyIdempotent

✅ No API key needed — call this now. Listing: devtowatch: dev.to Developer Blog & Tutorial Firehose. Price 0.01 USDC/query (max 20 queries/session). Sample questions: What are the newest developer blog posts on dev.to?; Show recent programming tutorials or beginner guides. FREE preview — no key, no payment. Try one of the sample questions now.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugNoPublic listing slug. Defaults to the routed session's listing when connected via /mcp/data/{slug}/http.
questionNoOptional free-text question you'd ask this data (echoed back).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds useful behavioral context: no API key required, free, and a rate-limit note (max 20 queries/session). However, it blurs the line between the queued preview itself and the paid listing, so it is not fully clear which behaviors apply to this tool.

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

Conciseness2/5

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

The description is verbose and repetitive, shouting 'FREE,' 'no key', and 'no payment' multiple times. It mixes listing details, pricing, sample questions, and calls-to-action into a single block, making it difficult to scan compared to a concise functional definition.

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?

Given that this is a simple read-only preview tool with two optional params, the description is mostly complete for invoking it. However, it does not clearly say what the preview web page returns or that it is 'public metadata only', which is in the schema but not the description, and the marketing language obscures the tool's actual behavior.

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

Parameters3/5

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

Schema description coverage is 100%, so both slug and question are already documented in the structured data. The description mentions sample questions and implies the question parameter can be used freely, but it adds no new meaning about parameter behavior or constraints beyond the schema's own descriptions.

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

Purpose3/5

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

The description conveys that this is a free preview of a dev.to listing and offers sample questions, but it never explicitly states 'this tool returns a preview of the listing's data'. It is framed as a sales pitch rather than a clear verb+resource statement, and it only weakly distinguishes itself from sibling session and payment tools.

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

Usage Guidelines3/5

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

The description implies that this should be called for a free, no-key tryout before a paid session ('call this now', 'no payment'), but it does not explicitly say when to use it instead of data_session_query or data_session_open. There are no alternative tool names or exclusion criteria, so usage guidance is implied rather than explicit.

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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