mcp-trustlayer
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 |
|---|---|
| evaluate_fieldsA | Decide which extracted fields may be written to a system of record and which must go to a person. Returns a disposition per field: post, review, or escaped. Call this before acting on extracted data. |
| calibrate_thresholdB | Sweep the confidence threshold across a range and report how review load trades against errors that get through. Use this to choose a bar deliberately rather than accepting a default. |
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
The two tools have clearly distinct purposes: evaluate_fields determines field dispositions, while calibrate_threshold analyzes trade-offs across threshold values. There is no overlap in their responsibilities.
Both tools follow the same verb_noun pattern ('evaluate_fields', 'calibrate_threshold'), using consistent lowercase with underscores. The pattern is predictable and clear.
With only 2 tools, the set is slightly thin, but this matches the narrow, focused scope of the trust-layer functionality. Each tool earns its place.
The workflow is missing a way to actually apply the calibrated threshold to the evaluate_fields tool; calibration is informational but there is no explicit 'set_threshold' or parameter. This creates a notable gap for end-to-end usage.