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ZenTao MCP Server

by leeguooooo

zentao_products_list

Retrieve all products from ZenTao to obtain product IDs for subsequent bug queries. Returns product details including ID, name, and bug counts.

Instructions

List all products from ZenTao. Use this to get product IDs before querying bugs. Returns product information including ID, name, and bug counts.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (default 1).
limitNoPage size (default 1000).
Behavior3/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions the return format ('product information including ID, name, and bug counts') which is helpful, but doesn't address important behavioral aspects like pagination behavior (implied by parameters but not explained), error conditions, or authentication requirements. The description adds some value but leaves gaps.

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 perfectly concise with two sentences that each earn their place. The first sentence states the purpose, and the second provides usage guidance and return format information. No wasted words or redundancy.

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?

For a list tool with no annotations and no output schema, the description provides good context about purpose, usage, and return format. However, it doesn't fully compensate for the lack of output schema by detailing the exact structure of returned product information or addressing pagination behavior. Given the tool's relative simplicity, it's mostly complete but has minor gaps.

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%, so the schema already fully documents both parameters. The description doesn't add any parameter-specific information beyond what's in the schema. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no param info in the description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('List') and resource ('all products from ZenTao'), and distinguishes this tool from its siblings by specifying it's for getting product IDs before querying bugs. It explicitly mentions the sibling tools are for bugs, while this is for products.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit guidance on when to use this tool ('to get product IDs before querying bugs') and implicitly suggests alternatives by mentioning sibling bug-related tools. It establishes a clear workflow context for usage.

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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