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Adaptive Tech Radar MCP

Adaptive Tech Radar MCP

by SerhiiHirus

radar_ingest_custom

Manually add changelog posts, articles, or release notes to the radar database so updates can be scored and reviewed against your local stack profile.

Instructions

Manually ingest a changelog post, article, or release note into the radar database.

Args: title: Title or headline of the update. body: Body text or description. source_url: Optional source link.

Input Schema

NameRequiredDescriptionDefault
bodyYes
titleYes
source_urlNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

B3.2/5.0
Behavior2/5

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

No annotations are supplied, so the description carries the full behavioral burden, yet it only signals that this is a write into a database. It omits permissions/auth needs, deduplication or overwrite behavior, whether ingestion triggers downstream processing, and any rate or size limits.

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 opening sentence is front-loaded and the Args block maps cleanly to the schema with no filler. Slightly wasteful that the arg notes largely restate the parameter titles, but overall tight.

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?

The output schema exists so return values need not be explained, and all three params are touched. For an unannotated mutation tool, though, the definition leaves real gaps around side effects, post-ingest behavior, and what counts as acceptable input.

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 0%, so the description must compensate: it does name all three parameters and clarifies source_url is optional and a link. But the title and body notes merely restate the field names without format, length, or content constraints.

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?

States a specific verb ('ingest') and resource ('changelog post, article, or release note') with the target destination ('radar database'). The word 'Manually' implicitly distinguishes it from automated ingestion such as radar_check_updates, but no sibling is named explicitly.

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?

'Manually ingest' implies the trigger condition and the accepted content types are listed, giving implied usage. However, it never says when to prefer this over radar_check_updates or an automated pipeline, nor what preconditions must hold.

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