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get_metadata

Retrieve metadata for MCPs and tools, with options to filter by server and tool, include full schemas, or save to file.

Instructions

Metadata for connected MCPs. Compact by default (names+descriptions). verbose=true for full schemas. mcp_name+tool_name for single-tool schema.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
mcp_nameNoLimit to one MCP
tool_nameNoLimit to one tool (use with mcp_name)
file_pathNoWrite metadata to file
verboseNoInclude full input schemas (default: false; always included for mcp_name+tool_name queries)
Behavior3/5

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

With no annotations, the description partially discloses behavior: default output format, effect of verbose, and ability to write to file via file_path. However, it does not state read-only nature, permissions, or rate limits.

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 three concise sentences, front-loaded with the tool's core purpose, and every sentence adds meaningful information without wasted words.

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?

Given the absence of output schema and annotations, the description covers main use cases and parameters. However, it does not detail the structure of returned metadata or handling of edge cases (e.g., no connected MCPs).

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 100% with individual parameter descriptions. The tool description adds context about default output (names+descriptions) and interaction between mcp_name, tool_name, and verbose, but this is moderate added value beyond the schema.

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 indicates the tool retrieves metadata about connected MCPs, and distinguishes default compact output from verbose mode. While it uses a noun phrase rather than a verb, the purpose is specific and understandable.

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 provides internal usage guidance (default vs verbose, single-tool query) but does not explicitly compare to sibling tools or state when to use this tool versus alternatives like search_tools or manage_mcps.

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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