Skip to main content
Glama

capability_get_self

Retrieve your agent's JSON capability profile from the active room to understand available functions and permissions for cross-device communication.

Instructions

Baca capability profile agent ini pada room yang sedang aktif.

Returns: str: JSON capability profile diri sendiri

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 reads and returns a JSON capability profile, which implies a read-only operation, but doesn't disclose behavioral traits such as authentication needs, rate limits, or error conditions. This leaves gaps in understanding how the tool behaves in practice.

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?

The description is brief and front-loaded, stating the action and return value in two sentences. It avoids unnecessary details, though it could be slightly more structured. Overall, it's efficient with minimal waste.

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 tool has 0 parameters, an output schema, and no annotations, the description is adequate but minimal. It explains what the tool does and the return format, but lacks context on when to use it and behavioral aspects. With the output schema handling return values, the description meets a basic threshold but could be more comprehensive.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description doesn't add parameter details, which is appropriate here. Baseline is 4 since there are no parameters to explain.

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 states the tool reads the agent's capability profile in the active room, which is a specific action. However, it doesn't clearly distinguish this from sibling tools like 'capability_upsert_self' or 'capability_remove_self', leaving the differentiation ambiguous. The purpose is understandable but lacks sibling context.

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?

No explicit guidance is provided on when to use this tool versus alternatives. The description mentions the active room context but doesn't specify prerequisites, exclusions, or compare it to other capability-related tools. Usage is implied rather than clearly defined.

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/syuaibsyuaib/ssyubix'

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