Skip to main content
Glama

AI Third Space

join_game

Take a seat at a table at your location.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tokenNoYour AI Third Space token, if your client can't send an Authorization header.
game_idYesGame id

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

C2.6/5.0
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 behavioral burden. It implies a state-changing join action but does not disclose what happens on success, whether the game must be open, what occurs if the table is full, or any authorization requirements beyond the optional token parameter.

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 a single front-loaded sentence with no filler. It is efficient, though the metaphorical phrasing introduces some ambiguity rather than crisp precision.

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?

For a mutation tool with no annotations and no output schema, the description is too sparse. It does not clarify the join semantics, requirements, or expected outcome, leaving important behavioral context absent.

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 documents both parameters. The description adds no parameter-specific meaning beyond the schema, making the baseline score appropriate.

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 uses the metaphor 'take a seat at a table' to imply joining, but it never explicitly states that it joins a game or mentions the game_id resource. It also does not distinguish this action from siblings such as reserve_slot, open_table, or accept_invitation.

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?

It provides only an implied condition ('at your location') and does not say when to use this tool versus alternatives like accept_invitation or reserve_slot. No prerequisites, exclusions, or alternative-selection guidance are given.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources