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OrtakProje-1

Flutter Package MCP Server

by OrtakProje-1

get_package_info

Retrieve current Flutter package details including version, description, and dependencies to evaluate compatibility and features.

Instructions

Flutter paketinin güncel bilgilerini getirir (versiyon, açıklama, bağımlılıklar)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
package_nameYesFlutter paket adı (örn: http, provider, bloc)
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It states the tool retrieves current package information but doesn't disclose behavioral traits such as whether it requires authentication, has rate limits, returns structured data, handles errors, or if it's a read-only operation. For a tool with no annotation coverage, this leaves significant gaps in understanding how it behaves.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence in Turkish that directly states the tool's purpose and what information it retrieves. It's front-loaded with the main action and includes specific details (version, description, dependencies) without unnecessary words. Every part of the sentence contributes to understanding the tool's function.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the complexity of retrieving package information, no annotations, and no output schema, the description is incomplete. It doesn't explain the return format (e.g., JSON structure), error handling, or any behavioral context. For a tool that likely interacts with an external package registry, more details on response structure and limitations would be necessary for effective use by an AI agent.

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?

The input schema has 100% coverage with a clear description for the single parameter 'package_name'. The description adds minimal value beyond the schema by implying the parameter is for a Flutter package and providing examples (http, provider, bloc), but doesn't elaborate on format constraints or additional semantics. With high schema coverage, the baseline score of 3 is appropriate as the description doesn't significantly enhance parameter understanding.

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 clearly states the action ('getirir' - retrieves) and resource ('Flutter paketinin güncel bilgilerini' - current information of a Flutter package), specifying what information is retrieved (version, description, dependencies). It distinguishes from siblings by focusing on current package information rather than documentation, scores, versions, trending, or search. However, it doesn't explicitly differentiate from 'get_package_versions' which might overlap in providing version information.

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?

The description provides no guidance on when to use this tool versus alternatives like 'get_package_versions' (which might provide version history) or 'get_package_documentation' (which might provide documentation). There's no mention of prerequisites, context for use, or exclusions. The agent must infer usage from the tool name and description alone.

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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