Skip to main content
Glama

start_chat

Open a chat with the Crevio agent and queue a run, without waiting. Returns the run immediately — its chat_id is the conversation to continue with send_message. Follow the run with wait_for_run or get_run.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
messageYesWhat you want done, in natural language.
approval_modeNoautonomous (default) acts without review; supervised pauses in needs_input for your review before finishing; read_only forbids writes.
idempotency_keyNoRetrying with the same key returns the run the first call started instead of starting another.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYes
objectYes
resultNo
reusedNo
statusYes
chat_idNo
summaryNo
task_idYes
task_nameNo
created_atYes
started_atNo
completed_atNo
error_messageNo
credits_consumedNo
pending_approval_idsNo

TDQS

A4.2/5.0
Behavior4/5

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

The description discloses the key behavioral trait that this tool returns immediately without waiting, which is not fully captured by the annotations. The annotations indicate it's not read-only, not idempotent, and not destructive, and the description aligns with this by framing it as an initiation action. The queuing behavior and immediate return add transparency beyond the annotations.

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 extremely concise, two sentences providing clear purpose and next steps. Every word earns its place, and the key call-to-action (immediate return, follow with other tools) is front-loaded.

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

Completeness4/5

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

Given the tool's moderate complexity (3 params) and that an output schema exists, the description covers the essential behavioral contract: what it does, when it returns, and how to proceed. It could mention authentication or rate limits, but these are not critical for basic usage and are typical omissions.

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%, so the schema fully documents all parameters. The description doesn't add extra meaning beyond the schema, but the baseline of 3 is appropriate since the schema is self-sufficient.

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

Purpose5/5

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

The description clearly states the tool 'start_chat' opens a chat with the Crevio agent and queues a run, specifying the non-blocking behavior. It distinguishes itself from siblings by noting the returned chat_id is for use with send_message, setting it apart from other run-related tools.

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

Usage Guidelines4/5

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

The description provides clear usage guidance by instructing to 'Follow the run with wait_for_run or get_run', which indicates when each tool should be used. It doesn't explicitly mention when not to use this tool versus others, but the flow is clearly outlined.

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.

TDQS

A4/5.0
Disambiguation4/5

The direct API tools (api_search/api_execute) are clearly distinct from the agent workflow tools. The main ambiguity is between ask_crevio and start_chat, since both initiate agent runs, though one waits and the other does not.

Naming Consistency4/5

Most tools follow a clear verb_noun pattern (list_runs, get_run, send_message, cancel_run). The api_ prefix on api_execute/api_search and the lowercase whoami are minor deviations from an otherwise consistent convention.

Tool Count5/5

14 tools is well-sized for a server that combines direct REST API access with an agent run/chat lifecycle. Each tool has a distinct role and none feel redundant or unnecessary.

Completeness5/5

The REST surface is fully covered through api_search and api_execute, and the agent lifecycle is complete: start, continue, ask, wait, list, approve, cancel, and inspect runs/chats/messages. No critical operation appears to be missing.

Resources