Skip to main content
Glama
iPraBhu

mcp-perforce-server

by iPraBhu

p4_labels

List Perforce labels using filters for name, user, filespec, or server, enabling targeted label discovery and inventory checks.

Instructions

List labels

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
maxNoMaximum number of results (optional)
userNoFilter by user (optional)
labelNoSpecific label to show (optional)
filespecNoSingle filespec filter for labels containing matching files (optional)
serverIdNoLimit labels to a specific server using -s (optional)
unloadedNoList unloaded labels using -U (optional)
filespecsNoMultiple filespec filters for labels in one command (optional)
allServersNoList labels across all servers using -a (optional)
nameFilterNoLabel name filter using -e (optional)
workspacePathNoPath to workspace directory (optional, defaults to current directory)
autoreloadOnlyNoList only autoreload labels using -R (optional)
caseInsensitiveNameFilterNoCase-insensitive label name filter using -E (optional)
Behavior1/5

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 discloses no behavioral traits such as read-only nature, output format, side effects, or authentication requirements. This is a significant gap for a tool with 12 parameters and no output schema.

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

Conciseness2/5

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

The description is extremely short, almost a stub. While it is concise in word count, it is under-specified and fails to earn its place by adding any useful information. It is not front-loaded with key details because there are no details at all.

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

Completeness1/5

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

Given 12 optional parameters, no required parameters, and no output schema, a complete description should explain how parameters interact, output format, and typical use cases. The description provides none of this, making it highly incomplete for an agent to call correctly.

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%, meaning every parameter is already documented in the schema with descriptions. The description adds no additional meaning beyond the schema, so the baseline of 3 is appropriate. It does not compensate for any gaps, but none exist in the schema.

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

Purpose3/5

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

The description 'List labels' states a verb and resource, making the basic purpose clear. However, it is vague and does not differentiate from siblings like p4_label or p4_files. It lacks specificity about scope or filtering, matching the 'vague purpose' criterion.

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

Usage Guidelines1/5

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

There is no guidance on when to use this tool versus alternatives. No context, scenarios, or exclusions are provided. The description only restates the action, leaving the agent to infer usage from the schema alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/iPraBhu/mcp-perforce-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server