terse
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| demo_ordersA | Return a synthetic order book as a JSON record array. Nothing is fetched and nothing is stored — the point is the shape, so you can see what terse does to a record-shaped tool result. For the non-JSON counterpart, use demo_logs. Output is deterministic: the same limit always returns the same records, and a larger limit gives tabularize and the dictionary tier more repetition to fold. |
| demo_logsA | Return a synthetic plain-text log tail. Non-JSON on purpose: it is what terse's text tier sees, as opposed to the record array demo_orders returns. More lines gives the text tier more to work on. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
demo_logs returns plain-text log data while demo_orders returns a JSON record array; the descriptions explicitly contrast the two formats and reference each other, leaving no ambiguity about which tool to use for a given output shape.
Both tools follow the exact same pattern: demo_ prefix plus a plural noun (logs, orders) in snake_case. There is no mixing of conventions or verb styles.
Two tools is slightly under the typical 3-15 range, but the server's apparent purpose is to provide exactly two demo output shapes (text and record array), so each tool earns its place without redundancy.
The set covers text and record-array shapes, but the descriptions mention terse's dictionary tier and tabularize behavior without providing a corresponding dictionary-shaped demo tool. Other potential shapes (e.g., nested data, errors) are also absent, leaving notable gaps for a demo server.