bangla-news-radar

Compare Coverage

compare_coverage

Compare which Bangladeshi newspapers are covering a topic and how each frames it, by grouping current headlines by outlet to spot coverage gaps and angle differences.

Instructions

See which newspapers are covering a topic right now, and how they frame it.

Groups current matching headlines by paper — useful for spotting who is running a story, who is ignoring it, and how the angle differs.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "topic": "<topic>"
    },
    "name": "compare_coverage"
  }
}

Input Schema

Name	Required	Description	Default
`topic`	Yes

Output Schema

Name	Required	Description	Default
No arguments

Schema Changelog

Changes observed during successful MCP inspections.

First observedv0.1.0Sep 8, 2026

TDQS

B3.4/5.0

Behavior3/5

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

No annotations are provided, so the description carries the behavioral disclosure burden. It does add meaningful behavior by stating that the tool 'groups current matching headlines by paper' and implies a live 'right now' scope. It does not mention any caveats such as source coverage limits, matching semantics, or whether the operation is read-only.

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

Conciseness5/5

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

The description is two tight, front-loaded sentences with no filler. The first sentence states the purpose and scope, and the second explains the grouping behavior and the practical value for the agent.

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

Completeness4/5

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

For a one-parameter read/comparison tool with an output schema provided, the description is largely complete: it covers the main behavior and typical use case while leaving return-format details to the output schema. The main missing pieces are explicit sibling differentiation and precise semantics around 'current' and 'topic', but those are already reflected in other dimension scores.

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 input schema has only a required string 'topic' with zero description coverage, so the description must compensate. It only restates that the tool is about 'a topic', providing no format, examples, or matching guidance. This is a weak contribution below the baseline needed for a schema with no parameter documentation.

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 clearly identifies a comparison action over news coverage, grouping current matching headlines by newspaper and exposing framing differences. It does not explicitly name sibling tools for contrast, but the core purpose and resource are unmistakable.

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 says it is useful for spotting who is running a story, who is ignoring it, and how the angle differs, which implies a comparative use case. However, it never states when to prefer compare_coverage over siblings like scan_news or deep_search, and it gives no exclusions.

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

Deploy Server