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Medium: Get account stats

medium_get_account_stats
Read-only

Medium: The account-level figures Medium shows on your stats page, for one month. Returns the account-level figures Medium shows on your stats page for one month. Use list_stories and get_story_stats to find which stories drove them. Needs the user's Cotlet API key with access to this app.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
monthNoYYYY-MM. Default: current month.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already cover the safety profile (readOnlyHint=true, destructiveHint=false, openWorldHint=true), so the bar is lower. The description adds a genuinely useful behavioral detail not in the annotations: it requires the user's Cotlet API key with access to this app, plus the one-month scoping. It stops short of describing return format or pagination.

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

Conciseness3/5

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

The core content is front-loaded, but the first two sentences are near-verbatim duplicates ('The account-level figures Medium shows on your stats page, for one month' vs 'Returns the account-level figures Medium shows on your stats page for one month'), which wastes space without adding information.

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?

With no output schema, the description carries the full burden of explaining return values, yet it only says 'account-level figures Medium shows on your stats page' without naming what figures (views, reads, claps, followers). For a stats tool with a single optional param this is adequate but leaves the return shape vague.

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 coverage is 100% and the single month parameter is fully documented in the schema (YYYY-MM, default current month). The description adds only the 'one month' scope, which the schema already implies, so the baseline 3 is appropriate.

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 and resource (account-level figures for one month) and explicitly names the sibling tools (list_stories, get_story_stats) for drilling down, which helps distinguish it. However, the first two sentences essentially restate the same thing ('account-level figures Medium shows on your stats page, for one month'), so the purpose statement is duplicated rather than sharpened.

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?

It routes the agent to list_stories and get_story_stats for a follow-up question, which implies a workflow, but it never states the condition under which this tool itself should be chosen or any prerequisite beyond the API key. Usage 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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