Prompt Control Plane
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 | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| optimize_promptB | Analyze a raw prompt, detect ambiguities, compile an optimized version, score quality, and estimate cost across providers. Returns a PreviewPack for review. |
| refine_promptB | Refine a prompt by answering blocking questions or providing manual edits. Re-runs analysis and returns updated PreviewPack. |
| pre_flightB | Full pre-flight analysis: classify task, assess risk, route model, score quality. Returns complete decision bundle. Metered — counts as 1 optimization use. |
| check_promptA | Quick pass/fail check of a prompt. Returns score, top issues, and a suggestion. No compilation, no session. |
| approve_promptC | Approve the compiled prompt. Returns the final optimized prompt ready for use. |
| estimate_costB | Estimate token count and cost across providers for any prompt text. No session needed. |
| compress_contextB | Compress context (code, docs) by removing irrelevant sections. Returns pruned context with token savings. |
| classify_taskB | Classify a prompt by task type, reasoning complexity, risk level, and suggested profile. Free — no metering. |
| route_modelB | Route to the optimal model based on task complexity, risk, budget, and latency preferences. Returns recommendation with decision_path audit trail. Free — no metering. |
| prompt_statsB | Get aggregated optimization statistics: total count, average score, top task types, estimated savings. |
| prune_toolsA | Score and rank MCP tools by relevance to a task intent. Optionally prune low-relevance tools to save context tokens. |
| configure_optimizerB | Configure optimizer behavior: mode, threshold, strictness, default target, ephemeral mode, session limits. Supports config locking with passphrase protection. |
| get_usageB | Get current usage count, limits, remaining quota, and tier information. |
| set_licenseA | Activate a Pro or Power license key. Validates the Ed25519 signature offline and unlocks the corresponding tier. |
| license_statusA | Check current license status, tier, and expiry. Returns purchase link if no license is active. |
| save_custom_rulesA | Save custom governance rules to the local rules file (~/.prompt-control-plane/custom-rules.json). Validates all rules against the product schema, writes to disk, and returns the rule-set hash. Rules take effect on the next optimization. Works with any LLM connected to PCP. Enterprise tier only. |
| list_sessionsB | List all optimization sessions with metadata (no raw prompts). Free tool, not metered. |
| export_sessionA | Export full session details including raw prompt. Free tool, not metered. |
| delete_sessionA | Delete a single optimization session by ID. Returns deleted status. Free tool, not metered. |
| purge_sessionsB | Purge optimization sessions by age policy or delete all. Safe-by-default: requires explicit parameters. Free tool, not metered. |
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 20 tools
Each tool has a clear, distinct purpose covering different aspects of prompt optimization, session management, licensing, and configuration. No two tools appear to do the same thing; even similar-sounding tools like optimize_prompt and refine_prompt are clearly differentiated.
Most tools follow a verb_noun pattern (e.g., approve_prompt, delete_session), but a few like license_status, prompt_stats, and pre_flight deviate with noun-noun or adjective-noun patterns, introducing inconsistency.
20 tools is a reasonable number for a comprehensive prompt control plane. Each tool covers a distinct function, and the set feels scoped without unnecessary bloat or missing essentials.
The tool surface covers core workflows: optimization, evaluation, classification, compression, session management, licensing, and usage tracking. Minor gaps exist (e.g., no direct tool to retrieve compiled prompt without approval), but overall coverage is strong.