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Glama

Provisions

acs_provisions
Read-onlyIdempotent

List and inspect GenieACS provision scripts with paging, filtering, sorting, and projections; returned script bodies mask password-like values and remain read-only.

Instructions

List provision scripts (GET /provisions). Script bodies are returned as stored, with password-like assignments masked.

Input Schema

NameRequiredDescriptionDefault
skipNoRows to skip, for paging. Use `total` in the result to know how many exist.
sortNoSort as JSON, e.g. {"_lastInform":-1}.
limitNoRows to return (default and maximum come from the server configuration).
queryNoGenieACS query as a JSON object (or JSON string), e.g. {"_id":{"$regex":"ZTE"}} or {"_lastInform":{"$gt":"2026-10-15T00:00:00Z"}}. Operators: $eq $ne $in $nin $gt $gte $lt $lte $exists $and $or $regex.
projectionNoComma separated parameter paths to return, e.g. "_id,_lastInform,InternetGatewayDevice.DeviceInfo.SerialNumber". Strongly recommended: a full device document can be hundreds of KB.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already establish that this is a safe, read-only, idempotent operation. The description adds genuinely useful behavioral information not captured in annotations: script bodies are returned as stored, and password-like assignments are masked, which tells the agent not to expect real secrets.

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 consists of two tightly written sentences that front-load the core action and then add the key return-value caveat. Every sentence earns its place, with no redundancy.

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?

For a read-only list tool with full schema coverage and annotations covering safety, the description is largely complete. It explains the masking behavior of returned script bodies, which is the main non-obvious trait, though it could mention that responses are paginated lists whose total is exposed via the result.

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 description coverage is 100%, so all five optional parameters (skip, limit, sort, query, projection) are already fully documented in the schema. The description adds no parameter-level meaning beyond that, making the baseline score of 3 appropriate.

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

Purpose4/5

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

The description states a specific verb and resource ('List provision scripts') and even names the underlying HTTP endpoint. It is clearly distinct from device-, task-, fault-, file-, and preset-oriented siblings, though it does not explicitly contrast itself with any of them.

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

Usage Guidelines2/5

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 acs_read or the other listing tools. Usage is only implied by the verb 'List' and the resource name, with no exclusions or selection criteria.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.