Get parameter
model_get_parameterOne catalog row plus its observations (facts).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| id | No | ||
| parameterId | Yes | Stable id, e.g. PRJ.FACILITY_MW |
model_get_parameterOne catalog row plus its observations (facts).
| Name | Required | Description | Default |
|---|---|---|---|
| id | No | ||
| parameterId | Yes | Stable id, e.g. PRJ.FACILITY_MW |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It does add value by describing the return composition ('one catalog row plus its observations/facts'), which is useful since there is no output schema. However, it does not state read-only behavior, error cases, permissions, or what happens when the parameter is not found.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no filler. 'facts' in parentheses is a helpful clarification, and every word earns its place, though the brevity contributes to the lack of completeness elsewhere.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, no annotations, two parameters, and a large sibling-tool set, this one-phrase description is insufficient. It conveys only the basic return shape and omits invocation context, identifier semantics, and behavior around missing or invalid inputs.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds no meaning about the parameters themselves. The input schema documents 'parameterId' with an example, but the optional 'id' is left unexplained in both the schema and the description, and the relationship between the two identifiers is not clarified.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description makes clear that the result is one catalog row plus its observations, and the title supplies the action ('Get'). It is not a tautology and the singular framing helps distinguish it from list-style siblings, though it doesn't explicitly name the parameter resource or differentiate from similar getters.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance about when to use this tool instead of alternatives. None of the sibling tools are mentioned, and no conditions or exclusions are given, so the agent must infer selection from the tool name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Many tools are mirrored across `artifacts_*` and `roadflow_*` with near-identical names and behavior, and within each family `get`, `export_json`, and `export_markup` overlap in what they return. Descriptions identify the target workspace, but an agent must carefully inspect prefixes and formats to avoid misselection.
The set consistently uses lowercase snake_case with a domain prefix and predictable verbs like get, list, create, open, export, and apply. Minor deviations are bare commands (`new`, `discard`, `status`) and the parallel `artifacts_*`/`roadflow_*` prefixes, which make names look duplicated.
At 23 tools, the surface lands in the heavy 16-25 range and feels padded because many operations are duplicated for two workspace types. Each subsystem alone would have a reasonable count, but combined the set is bloated.
The toolset covers the full workspace lifecycle: create, read, update via apply, discard, share, version, status, and multiple export formats. Missing cloud deletion and fine-grained element editing are minor gaps that can be worked around with full-state apply/export.