Skip to main content
Glama

pitch_deck_storyline

Read-onlyIdempotent

Build a complete investor pitch-deck storyline for a company. Returns an 8-20 slide narrative tailored to the target audience (seed-vc / series-a-vc / growth-vc / strategic / bank / grant) — each slide carrying a title, key points, a speaker note and a visual hint — plus a Q&A bank of 10-15 likely board questions and traps to avoid. Output is deck JSON ready to export to Google Slides, Notion or Pitch.com. When to use this tool: the user is preparing a fundraise, a board meeting, or an investor presentation. Inputs: the company profile and the target audience type. Delivered by Sarah, the AI Fundraising lead of the Gapup portfolio.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
asyncNoIf true, returns a job_id immediately (<200ms) instead of waiting for the result. Poll the result with job_result(job_id). Use for slow tools to avoid client timeouts.
companyYes
audienceYesTarget audience — adapts tone + emphasis + Q&A bank
keyFactsYesHard facts to weave into the deck (traction numbers, milestones, awards)
slideCountYes12 = standard VC deck, 15 = bank-friendly with annexes, 20 = growth/strategic

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
kpisNo3-5 headline KPI bubbles surfaced from keyFacts
slidesYes8-20 slide objects ready to export to Google Slides / Notion / Pitch.com
qaBanksYes10-15 anticipated investor questions with recommended answers
recommendationsNoFundraising preparation actions
executiveSummaryYesOne-paragraph elevator pitch distilled from the deck

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=true and destructiveHint=false. The description adds behavioral context: generates a narrative, returns slide structure with key points, speaker notes, visual hints, and a Q&A bank, and outputs JSON ready for export. No contradictions with 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?

The description is 4-5 sentences, front-loaded with purpose, then output details, usage, and inputs. Every sentence adds value; even the trailing 'Delivered by Sarah...' is a brief signature. No fluff or redundancy.

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

Completeness4/5

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

Given the tool's complexity (5 params, nested object, output schema exists), the description covers the main use case, inputs, output format (slide structure, Q&A bank), and when to use. It omits the async parameter but the schema covers it. Overall, it provides sufficient context for an agent to use the tool effectively.

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?

Schema description coverage is 80% (4 of 5 parameters described in the description: company, audience, slideCount, keyFacts; async not described). The description adds semantic value by explaining audience enum values, slideCount ranges (e.g., '12 = standard VC deck'), and that keyFacts are hard facts. This goes beyond the schema's own descriptions.

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?

Description clearly states 'Build a complete investor pitch-deck storyline for a company.' The verb 'build' and resource 'pitch-deck storyline' are specific. Among sibling tools like 'funding_hunter' and 'investor_shortlist', this tool is uniquely focused on creating a deck narrative, not finding funding or investors.

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 explicitly says 'When to use this tool: the user is preparing a fundraise, a board meeting, or an investor presentation.' This provides clear context for use. It does not mention when not to use it or compare to specific alternatives, but the scenario is well-defined.

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

C2.5/5.0
Disambiguation2/5

With 271 tools, many have overlapping purposes (e.g., multiple competitor intel tools, multiple financial modelers, multiple ESG auditors). Detailed descriptions help slightly, but the sheer volume creates confusion. Agents would struggle to select the right tool among many similar options.

Naming Consistency1/5

Tool names are wildly inconsistent: mix of English and French, snake_case and short phrases, some very generic (process, run, execute equivalents). No discernible naming convention (e.g., abm_architect vs. boundary_control vs. bp_narratif). This makes it hard to predict tool names.

Tool Count1/5

271 tools is far beyond typical well-scoped servers (3-15). This indicates an unfocused, over-bloated tool surface. Even for a general business intelligence server, this number is excessive and violates the principle of each tool earning its place.

Completeness2/5

Despite the large count, coverage feels scattered. Some domains (e.g., content, competitive intel) have many tools, while others (e.g., supply chain, HR) have gaps. The set lacks a coherent scope; it seems like a dump of many separate tool collections rather than a complete, curated surface.

Resources