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Yazılım Koçu

Karşılaştır

compare
Read-onlyIdempotent

Compare two Yazılım Koçu frameworks (by code) or two sector solution pages (by slug, e.g. "finans" vs "uretim"). Sector metrics are representative targets, not measured client results.

Input Schema

NameRequiredDescriptionDefault
aYes
bYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so the safety profile is covered. The description adds genuinely useful context beyond that: sector metrics are representative targets rather than measured client results, which shapes how an agent should report the comparison output. It still doesn't describe the shape of the comparison response, but the annotation coverage lowers the burden.

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 front-loaded sentence covers the two modes, followed by one short caveat sentence. Every clause earns its place; the only minor cost is the dense parenthetical carrying the slug example.

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?

There is no output schema, so the description should convey what a comparison yields, and it only hints at it via the sector-metrics caveat. For a simple two-parameter read tool with strong annotations, the omission is tolerable but leaves the agent guessing about result structure and error behavior for invalid codes or slugs.

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 0% and the parameters are opaque single letters, so the description carries the full burden. It partially compensates by specifying the value domain (framework code or sector slug, with an example), but it never maps the two required fields to a role or clarifies whether a and b must be the same type, leaving real ambiguity.

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 states a specific verb (compare) and names two concrete resource types: Yazılım Koçu frameworks identified by code, and sector solution pages identified by slug. It gives a worked example ("finans" vs "uretim"), so an agent can distinguish it from the read-only sibling tools like get_frameworks and get_page that fetch single items.

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?

The description implies when to use it (two items of the same kind to contrast) and how to supply identifiers (code vs slug), but it gives no explicit exclusions or prerequisites. It never says whether mixed inputs (one code, one slug) are invalid, nor does it tell the agent to call get_frameworks or list_services first to discover valid codes or slugs.

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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