Skip to main content
Glama

Tradoshi rankings and research

A trading school's rating

get_school
Read-onlyIdempotent

The Tradoshi 2027 rating of a trading school: score out of 100, international, continental and national ranks, pillars, rated programme, regulator warnings, and each criterion with its evidence, source URL and the date it was read.

Input Schema

NameRequiredDescriptionDefault
slugYesSchool slug, from search_entities or get_rankings

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint=false and destructiveHint=false, so the safety profile is covered. The description adds real value by disclosing the returned payload structure (score, ranks, pillars, warnings, per-criterion evidence and read date), but says nothing about behavior on an unknown slug, auth needs, or freshness/pagination.

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?

One front-loaded sentence that leads with the resource and rating year, then lists payload contents. The field enumeration is long but each item is informative, so it earns its place.

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 must carry the return-value burden and does so thoroughly by enumerating score, ranks, pillars, warnings and evidence provenance. The remaining gap is failure/edge-case behavior for a missing or unknown slug.

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 100% and the single slug parameter is already documented with its source (search_entities or get_rankings). The description adds no further meaning about the slug format or validity, so the baseline of 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?

The description names a specific resource (a trading school's Tradoshi 2027 rating) and enumerates exactly what the payload contains, which cleanly separates it from get_prop_firm and get_rankings. It lacks an explicit verb like 'retrieve' and never names a sibling, so it is clear but not maximally differentiated.

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 call this versus get_rankings, compare, or get_prop_firm, and no exclusions. The only workflow hint ('slug, from search_entities or get_rankings') lives in the schema, not the description.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources