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Tradoshi rankings and research

Latest changes

get_recent_changes
Read-onlyIdempotent

Dated changes: new features of the Tradoshi trading journal (product changelog) and changes to prop firm ratings in the Tradoshi 2027 ranking (score, rank and each criterion before and after).

Input Schema

NameRequiredDescriptionDefault
typeNoall
limitNo
sinceNoOnly changes on or after this date, YYYY-MM-DD

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=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The description adds useful content-level context (that prop-firm entries carry score, rank, and each criterion before and after), but says nothing about ordering, pagination, or whether results are deduplicated per entity.

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?

A single dense sentence with no filler, front-loading the key framing ('Dated changes') before enumerating the two streams. Slightly run-on with nested parentheses, but every clause carries informational weight.

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?

No output schema exists, so the description must carry the return-shape burden; it does a fair job by describing before/after criterion fields, but leaves result ordering, item structure, and pagination semantics unexplained. For a 3-parameter read tool this is adequate but not sufficient.

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?

Only 33% schema coverage — 'since' is documented in the schema while 'type' and 'limit' are not. The description effectively explains the two meaningful values behind the type enum (product changelog vs. prop-firm rating changes), which partially compensates, but it never mentions the limit cap or what the returned date ordering means.

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 the exact resource: a dated changelog covering two distinct content streams (product features and prop-firm rating revisions in the Tradoshi 2027 ranking), and clarifies that rating changes include before/after values per criterion. That is specific enough to separate it from siblings like get_rankings or get_prop_firm (current state vs. changes), though it never states the verb ('retrieve') explicitly.

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 guidance on when to choose this over get_rankings, get_prop_firm, or compare — the agent must infer that 'changes' means deltas over time rather than current values. No prerequisites, no exclusions, no mention of how the type filter relates to the two content streams described.

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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