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Delete observation

model_delete_observation

Delete one fact by parameterId + scope/scopeKey + setId.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNo
scopeNo
setIdNo
scopeKeyNo
parameterIdYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. Added

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are present, so the description alone must disclose destructive behavior. It only states that one fact is deleted and gives no detail about hard-delete semantics, scope/scopeKey defaults, required combination vs. optional `id`, cascading, or error behavior. This is a significant gap for a mutation tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The single sentence is compact and front-loads the action and key. It could be improved by incorporating the missing `id` semantics and usage conditions without becoming bloated.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a destructive tool with five parameters, no annotations, and no output schema, this description is too thin. An agent lacks enough information to know whether an `id` can be used, what happens with partial keys, or what a successful deletion returns.

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?

The description adds semantic meaning to parameterId, scope, scopeKey, and setId by framing them as the composite key of the fact. However, it does not explain the optional `id` property, and it implies parameterId + scope/scopeKey + setId are needed while the schema marks only parameterId as required.

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?

States a specific action ('Delete one fact') on the observation resource and names the composite key, which differentiates it from model_delete_edge and model_delete_parameter. It is clear but not fully precise because the description uses 'fact' while the title says 'observation' and omits the `id` parameter, leaving some ambiguity about the deletion target.

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?

No guidance on when to choose this tool over siblings such as model_upsert_observation, model_list_observations, or model_delete_parameter. There are no exclusions, prerequisites, or alternative conditions, so an agent must infer usage from the name.

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

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TDQS

B3.2/5.0
Disambiguation2/5

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.

Naming Consistency4/5

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.

Tool Count3/5

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.

Completeness4/5

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.

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