get_concertsReturns upcoming concerts and shows sourced from KAZM's data, primarily AZ and regional venues.
| Name | Required | Description | Default |
|---|---|---|---|
| state | No | Filter by state abbreviation, e.g. 'AZ' |
| Name | Required | Description | Default |
|---|---|---|---|
| count | Yes | ||
| updated | Yes | ||
| concerts | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true, idempotentHint=true, etc. The description adds useful context about data source (KAZM) and geographic scope, which is beyond annotation details. No contradictions.
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?
Single sentence, no fluff, front-loaded with key information. Every word earns its place.
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 low complexity (1 optional param) and presence of output schema, the description adequately covers source and scope. Lacks pagination or date range details, but output schema may handle return format.
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?
Schema description coverage is 100% (the only parameter 'state' is documented). The description adds no extra meaning beyond what the schema already provides, so baseline 3 is appropriate.
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 clearly states the verb (returns), resource (upcoming concerts and shows), and source/dataset (KAZM's data, primarily AZ and regional venues). This effectively distinguishes it from siblings like get_events which may be broader.
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?
The description implies geographic focus (AZ/regional) but lacks explicit guidance on when to use this tool versus alternatives like get_events. No when-not-to-use or exclusion criteria are provided.
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.
Tools are mostly distinct across categories (radio, local info, spiritual, listener management), but there is notable overlap: get_emergency_alerts and get_nws_alerts both provide alerts, and get_or_create_listener overlaps with register_listener. Also, get_chakra_frequencies, get_chakra_guide, and get_solfeggio are very similar. While descriptions help differentiate, agents may still struggle to select the right tool.
All tool names consistently use lowercase snake_case with a verb_noun pattern (e.g., get_weather, submit_song_request, log_listener_history). The verbs are predictable (get, search, submit, log, register, update) and there are no deviations like camelCase or inconsistent verb styles.
With 45 tools, the set is overgrown for a radio station server. Many tools are hyper-specific (e.g., separate tools for chakra frequencies, guide, and solfeggio; moon phase, sun times, and stargazing conditions). Consolidating similar functions would reduce cognitive load and improve coherence.
The tool set covers a broad range: radio operations, listener management, local news/weather, outdoor guides, spiritual content, etc. However, there are notable gaps: no tool to fetch full news articles (only headlines), no way to manage show schedules, and no donation or station info tools. Also, listener profile management is split across multiple tools, which feels incomplete.