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get_censorship_index

Read-only

Get the global censorship index with rankings for monitored countries. Returns country scores, risk tiers, and measurement counts aggregated from OONI, IODA and CensoredPlanet over the recent measurement window. Read current coverage from the response.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint=true, openWorldHint=false), so the bar is lower, yet the description still adds real context: the aggregation sources (OONI, IODA, CensoredPlanet), the recent measurement window, and the fact that country coverage varies and must be read from the response. That variability caveat is exactly the kind of operational detail an agent needs.

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?

Three sentences, front-loaded with the core action, then return shape, then the coverage caveat. Nothing is redundant or padded, though the final sentence is slightly clipped in phrasing.

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?

With no output schema, the description carries the burden of describing return values and does so: country scores, risk tiers, and measurement counts. Combined with the coverage caveat, an agent has enough to call and interpret it, though it omits any hint about freshness or update cadence.

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

Parameters4/5

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

The tool takes no parameters, so there is nothing for the description to disambiguate; the 0-parameter baseline is 4. The schema is empty and fully covered, and the description correctly focuses on output semantics instead.

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 resource (the global censorship index) and its scope (rankings for monitored countries), so an agent can tell it apart from narrower siblings like get_most_censored or get_censorship_by_region. It stops short of explicitly contrasting with the nearest siblings, so a 4 rather than a 5.

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

Usage Guidelines2/5

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

There is no statement of when to prefer this tool over the many sibling index/summary tools (get_censorship_summary, get_global_heatmap, get_atlas_score). The only soft guidance is the instruction to read coverage from the response, which is a hint about interpretation, not tool selection.

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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