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Project rankings

rank_projects
Read-only

Ranks crypto projects by a metric such as TVL, market cap, price, revenue or followers (or its 1d/7d/30d change), optionally within a category or chain, 50 per page. Sub-projects such as Aave V2 and Aave V3 rank as their own rows beside their parent. Free data from AlphaGrowth (alphagrowth.io).

Input Schema

NameRequiredDescriptionDefault
pageNoPage number, 50 projects per page.
chainNoOnly projects on this chain: the `chain_slug` of a row from the chains tool.
sort_byNoThe metric to rank by.tvl
categoryNoOnly projects in the category with this slug.
sort_orderNodesc for the highest first, asc for the lowest.desc

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare a safe read (readOnlyHint=true, openWorldHint=false), so the description only needs to add context. It does contribute two non-obvious traits: fixed 50-per-page pagination and the fact that sub-projects like Aave V2/V3 appear as separate rows beside their parent. It omits what a returned row actually contains.

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?

Two sentences, front-loaded with the core ranking behavior, then the sub-project caveat. The closing source attribution ("Free data from AlphaGrowth") is mildly promotional but does signal no-cost/no-auth access, so it roughly earns its place.

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?

Five optional parameters and no output schema mean the agent must infer the response shape. The description never says what a ranked row includes (project name, slug, the sorted metric, changes), which is a meaningful gap for a list-producing tool.

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%, so every parameter is already documented, including pagination, chain/category slugs and the sort enum. The description restates the metric families at a high level but adds no syntax or value details beyond the schema, so baseline 3 applies.

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 ("Ranks crypto projects") plus the metrics, optional scoping, and page size, which makes the tool's output shape imaginable. It notably does not contrast itself with the lookups (`find_projects`, `project_metrics`), so sibling differentiation is left implicit.

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?

Usage is implied by "optionally within a category or chain" and "50 per page", which suggest exploratory ranked listing. There is no explicit when-to-use or when-not-to-use guidance and no mention of when to reach for `find_projects` or `project_metrics` instead.

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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