Get Story Details
get_storyRetrieve detailed information about a specific story bundle by its ID, including the full timeline of related events.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| bundle_id | Yes | Story bundle ID |
get_storyRetrieve detailed information about a specific story bundle by its ID, including the full timeline of related events.
| Name | Required | Description | Default |
|---|---|---|---|
| bundle_id | Yes | Story bundle ID |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations declare readOnlyHint=true, so the agent knows it's a safe read operation. The description adds that the response includes the full timeline of related events, but it does not disclose error behaviors, prerequisites, or response format beyond that. This is acceptable but not rich.
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 well-structured sentence that front-loads the action ('Retrieve') and resource ('specific story bundle'), followed by what is included. No wasted words.
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?
The tool is simple with one parameter, a read-only annotation, and no output schema. The description states the purpose and key content (timeline of related events), which is sufficient for an agent to select and invoke the tool correctly.
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 schema describes bundle_id as 'Story bundle ID' with 100% coverage, so the schema carries the parameter meaning. The description doesn't add any additional parameter semantics such as format or constraints, making the baseline 3 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 tool retrieves detailed information about a specific story bundle by ID, including the timeline of related events. This distinguishes it from sibling tool get_stories, which likely lists stories rather than retrieving a single one.
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 usage for fetching a single, specific story bundle by ID, contrasting with plural sibling get_stories. However, it does not explicitly mention when to use an alternative or provide exclusion criteria, so it falls short of a full guideline.
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.
Each tool targets a distinct resource or action: efforts, members, policies, stories, representatives, voter info, and text retrieval. Even similar tools like get_effort and resolve_effort clearly differ in input type (ID vs natural language), and get_stories vs get_story follow the standard list/detail distinction.
All tool names follow a consistent verb_noun pattern using lower_snake_case: get_ for retrieval, search_ for queries, and resolve_ for name resolution. Nouns are clear and descriptive, with no mixing of styles or inconsistent verbs.
With 12 tools, the set is well-scoped for a U.S. political policy tracking service. Each tool provides a distinct utility without overwhelming the surface, fitting solidly within the expected range.
The tool surface covers the core read-only workflows: searching and retrieving policies and members, resolving and retrieving efforts, listing and retrieving story bundles, and looking up representatives and voter info. There are no obvious gaps or dead ends for the stated purpose.