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فکرستان (Fekrestan)

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get_how_we_work
Read-onlyIdempotent

How fekrestan's lessons are written and checked: specialised AI agents under the operator's supervision, independent re-solving of every problem, pedagogy and child-safety review, and the privacy facts. Returns Persian (fa-IR, RTL) text from public fekrestan.com pages for parents and teachers. No answers to in-app exercises.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare read-only, idempotent, non-destructive, and closed-world behavior, so the safety profile is covered. The description adds genuinely new context: the output is Persian (fa-IR, RTL) text sourced from public fekrestan.com pages, and it explicitly excludes exercise answers — both material for an agent deciding whether the returned content is usable.

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 tight sentences: the first front-loads the content scope, the second the format and audience, the third the exclusion. Every sentence earns its place; the only minor cost is that the opening sentence packs a long topic list, making it slightly dense to scan.

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 parameters and no output schema, the description carries the burden of describing the return value, and it does: language, script direction, source domain, and topical coverage. It stops short of noting size/truncation characteristics of the returned text, a small remaining gap for a content-dump tool.

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 zero parameters, so there is no parameter meaning to convey and the baseline applies. The description correctly spends no words on arguments and instead describes the payload, which is the right emphasis for a no-arg fetch.

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 gives a concrete verb-and-resource statement: it returns page text explaining how fekrestan's lessons are written and checked, including the review pipeline and privacy facts. It also marks the boundary with exercise-solving content ("No answers to in-app exercises"), which implicitly separates it from get_how_to_solve, though it never names that sibling outright.

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?

Audience is stated ("for parents and teachers") and the negative scope is explicit (no exercise answers), which implies this is the trust/methodology tool rather than a solving tool. However, it never says when to call this versus get_site_overview, get_access_summary, or how_to_start, nor lists any preconditions, so the routing decision is left to inference.

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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