Skip to main content
Glama

sponsorable

Search Podcasts

search_podcasts
Read-onlyIdempotent

Search podcasts by name, category, sponsor activity, or the industry of their sponsors. Free to call. Results are paginated (default 25 per page, max 100); page depth is capped at 20 — refine the filters instead of paging deep. Each result carries the podcast_id, name, categories, episode count, and sponsor/sponsorship counts. For one podcast's full profile and its top sponsors, use get_podcast.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lastNoOnly podcasts with a sponsorship in this recent window
pageNoPage number (1-20, default 1)
limitNoResults per page (1-100, default 25)
searchNoMatch against podcast name
sort_byNoSort key (default: sponsors)
categoryNoCategory slug — find slugs with list_categories
episodesNoMinimum episode count
industryNoOnly podcasts sponsored by companies in this industry (loosely matched free text, not a slug)
sponsorsNoMinimum number of distinct sponsors
sort_orderNoSort direction (default: desc)
sponsorshipsNoMinimum total sponsorship count

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint. The description adds: free to call, pagination capped at 100 per page and depth 20, and lists result fields. This adds behavioral context beyond the annotations.

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?

Three well-structured sentences: purpose, pagination and result details, and sibling reference. No wasted words; each sentence earns its place.

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?

With no output schema, the description explains return fields (podcast_id, name, categories, episode count, etc.) and covers pagination, cost, and limitations. Combined with fully described schema, it is complete for its complexity.

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?

Schema description coverage is 100%, so the baseline is 3. The description adds high-level context (e.g., filters by name, category, sponsor activity, industry) but does not significantly enhance individual parameter semantics beyond the schema.

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 opens with a specific verb and resource: 'Search podcasts by name, category, sponsor activity, or the industry of their sponsors.' It clearly distinguishes itself from siblings by mentioning get_podcast for full profile and implying other search tools for different entities.

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 states it is free to call, provides pagination limits and advice to refine filters instead of deep paging, and directs to get_podcast for a full profile. It does not explicitly list alternatives or when-not-to-use, but the context is clear enough.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4/5.0
Disambiguation4/5

Most tools have clear, distinct purposes. Overlap exists between search/search_sponsors and fetch/get_sponsor, but descriptions clarify the different use cases (deep-research compatibility vs. full structured queries). Overall, an agent can reliably differentiate tools.

Naming Consistency3/5

The naming convention is predominantly verb_noun (e.g., create_list, get_sponsor), but two tools (fetch, search) are single verbs without a noun, breaking consistency. This introduces minor confusion about their scope.

Tool Count4/5

17 tools is a reasonable number for a podcast sponsorship database, covering search, retrieval, list management, and contact operations. It's not overly heavy nor too thin for the domain.

Completeness4/5

The tool surface covers primary operations: searching sponsors/podcasts, retrieving details, managing lists, and handling contacts. Minor gaps exist (e.g., no tool to update sponsor data, but that's likely read-only), but core workflows are well-supported.