session_end
Close a session and get an immediate answer on whether it still needs distillation.
Instructions
Close a session. Tells you whether it still needs distillation.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| dataset | No | ||
| session_id | Yes |
Close a session and get an immediate answer on whether it still needs distillation.
Close a session. Tells you whether it still needs distillation.
| Name | Required | Description | Default |
|---|---|---|---|
| dataset | No | ||
| session_id | Yes |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
v0.2.0Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the behavioral burden. It does disclose a useful behavioral trait: the tool returns whether the session still needs distillation. However, it does not explain side effects, whether closing is reversible, or what happens if the session does not exist or is already closed.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two short sentences with no filler. It front-loads the core action and adds a concise statement about the tool's output, making it efficient and easy to parse.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite the tool's low structural complexity, the description is incomplete: it omits parameter semantics, usage context, side effects, and any explanation of what 'needs distillation' means. Without annotations or an output schema, an agent has too little context to confidently decide when and how to use this tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description adds no meaning for either parameter. It does not mention that session_id is required, nor explain the optional dataset field. The agent must rely entirely on the raw schema, which offers no semantic detail beyond names.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Close a session') and resource ('session'), and adds a specific outcome ('Tells you whether it still needs distillation'). It is distinct from siblings like session_start and session_get, though it does not explicitly name or contrast them.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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 such as session_get, session_timeline, or session_add_turn. The phrase 'Close a session' implies it should be used at the end of a session, but no explicit when-to-use or when-not-to-use instructions are provided.
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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