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list_dashboards

List dashboards stored for this account, newest first, with ids and links. Pass titleContains to find the one dashboard the user is describing instead of scanning the full list. truncated true means more dashboards exist than were returned — narrow with titleContains to reach them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleContainsNoCase-insensitive substring to match against dashboard titles.

TDQS

A4.7/5.0
Behavior5/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It goes beyond a simple 'list' verb by revealing ordering (newest first), return contents (ids and links), scoping (for this account), and truncation semantics (truncated true means more exist). This is robust transparency for a read-only list operation.

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 is three sentences with zero filler. The core purpose and ordering are front-loaded, followed by parameter guidance and truncation handling. Every sentence earns its place, making it easy for an agent to parse quickly.

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

Completeness5/5

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

For a simple list tool with one optional parameter and no output schema, the description covers everything an agent needs: what it returns (ids and links), ordering, scoping, parameter usage, and truncation interpretation. There are no missing details that would prevent correct invocation or result interpretation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already fully covers the parameter (case-insensitive substring matching), so the baseline is 3. The description adds value by explaining why to use this parameter (to find a specific dashboard, not scan the full list) and its role in overcoming truncation, thus going beyond the schema's literal definition.

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

Purpose5/5

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

The description clearly states the verb (List), the resource (dashboards for this account), the ordering (newest first), and the included attributes (ids and links). This immediate clarity distinguishes it from sibling tools like describe_dashboards or delete_dashboard without needing to open their schemas.

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

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description gives explicit guidance on when to use the titleContains parameter ('to find the one dashboard the user is describing instead of scanning the full list') and how to handle truncation ('narrow with titleContains to reach them'). It lacks explicit mention of alternative tools, but the context is clear enough for an agent to select this tool over siblings based on the resource being dashboards.

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

A3.8/5.0
Disambiguation2/5

Several tool pairs are near-duplicates, including three deprecated aliases (add_investigation_alert_channel vs add_alert_channel, list_investigation_alert_channels vs list_alert_channels, remove_investigation_alert_channel vs remove_alert_channel) that muddy the surface. Additionally, suppress_signal and create_ignore_rule both suppress alerting via different mechanisms, which could cause misselection despite detailed descriptions.

Naming Consistency4/5

The vast majority of tools follow a clear verb_noun snake_case pattern (create_api_test, list_issues, set_alert_rule_status). A few bare-noun tools (logs, spans, metrics) and the standalone verb correlate break the pattern slightly, but overall the naming is highly consistent and predictable.

Tool Count1/5

With 52 tools, this is on the extreme end of the calibration scale. Even accounting for the broad scope of an observability platform, the count is excessive and includes several deprecated redundancies that inflate it further.

Completeness5/5

The toolset provides comprehensive CRUD/lifecycle coverage across all major domains: alert rules (create, read, update, delete, status, delivery, preview), API tests (create, read, update, delete, run history, credentials), ignore rules and suppressions, issues with digest config, investigations with claim/read, channels, credentials, and rich query tools (logs, spans, metrics, SQL, traces, correlation). No obvious dead ends or missing core operations.

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